A method for identifying an associated group of immovable cultural relics and a multi-attribute structure

Abstract

The present disclosure relates to a method for identifying an associated group of immovable cultural relics and a multi-attribute structure. The method includes: obtaining information on each immovable cultural relic within a target geographical area; extracting first attribute features from the information on each immovable cultural relic to generate structured data regarding the first attribute; constructing a first connection relationship network based on the structured data regarding the first attribute; identifying at least one group of immovable cultural relics in the first connection relationship network; determining the core cultural relics in the group of immovable cultural relics, and generating a structure of the immovable cultural relics within the target geographical area regarding multiple attributes. Through the present disclosure, quantitative and accurate identification of an associated group of immovable cultural relics is achieved for different key attributes, and the group of immovable cultural relics regarding multiple attributes is fused based on the core cultural relics to obtain a structure regarding multiple attributes, thereby revealing the implicit structure of the immovable cultural relics within the target geographical area in terms of geographical space, cultural history, etc.

Description

Technical Field

[0001] The present disclosure relates to the fields of historical and cultural heritage protection planning and data technology, and in particular, to a method for identifying an associated group of immovable cultural relics and a multi-attribute structure. Background Art

[0002] Immovable cultural relics refer to ancient cultural sites, ancient tombs, ancient buildings, grottoes and stone carvings, murals, important historical sites and representative buildings in modern times, etc. In most cases, there are correlation relationships in terms of space, culture, function, etc. between different immovable cultural relics, forming an associated group of immovable cultural relics. The correlation is an important relationship between immovable cultural relics. The identification of the associated group of immovable cultural relics is of great significance for the value excavation and inheritance, overall protection, display and utilization of immovable cultural relics. Due to the large-scale and rapid renewal and construction of cities, the associated group of immovable cultural relics and its structure are gradually buried in the modern urban space, and thus it is difficult to be identified.

[0003] In the historical and cultural heritage protection planning, the associated group of immovable cultural relics is an important object of the cultural heritage protection and utilization planning. Therefore, the identification of the associated group of immovable cultural relics for a large number of immovable cultural relics within a large geographical area is an important content and is of great significance for the overall protection and utilization of cultural heritage.

[0004] For the identification of the associated group of immovable cultural relics, the existing technologies mainly adopt the methods of manual identification and kernel density estimation. The kernel density estimation method visualizes the aggregation of immovable cultural relics based on kernel density calculation, and cannot quantitatively analyze the correlation relationship between immovable cultural relics, and it is difficult to accurately identify the scope and characteristics of the immovable cultural relics group and its structure and provide detailed information, so it is difficult to accurately reveal the implicit geographical space and cultural and historical pattern of immovable cultural relics. Manual identification means that professionals study historical materials to sort out the correlation relationship between immovable cultural relics, and then identify the associated group of immovable cultural relics. However, this method can only be applied to a small number of immovable cultural relics within a small geographical area, and it takes a long time, with low identification efficiency. In addition, due to relying on manual work, this method is prone to omissions in the process of sorting out the associated immovable cultural relics, and there is subjective uncertainty in the identification process, resulting in inaccurate problems of this method. For the identification of the associated group of immovable cultural relics within a large geographical area, which involves a large amount of data, the existing technologies are both poor in accuracy and revealing implicit structures and cannot meet the planning requirements. Summary of the Invention

[0005] In view of this, the present disclosure provides a method, device, electronic device and storage medium for identifying an associated group of immovable cultural relics and a multi-attribute structure.

[0006] According to one aspect of the present disclosure, a method for identifying an associated group of immovable cultural relics and a multi-attribute structure is provided. The method includes:

[0007] Obtain information on each immovable cultural relic within the target geographical area; the information on the immovable cultural relic includes one or more of name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information;

[0008] Extract the first attribute features of each immovable cultural relic from the information on each immovable cultural relic, and generate structured data regarding the first attribute; the first attribute includes any one of geographical location, age, type, ownership, and historical culture;

[0009] Based on the structured data regarding the first attribute, construct a first connection relationship network; wherein, in the first connection relationship network, each immovable cultural relic is used as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the association between the two nodes regarding the first attribute;

[0010] Identify at least one group of immovable cultural relics in the first connection relationship network;

[0011] Determine the core cultural relics in the at least one group of immovable cultural relics, and based on the core cultural relics in the at least one group of immovable cultural relics, generate the structure of the immovable cultural relics within the target geographical area regarding multiple attributes.

[0012] In a possible implementation manner, the constructing the first connection relationship network based on the structured data regarding the first attribute includes:

[0013] Based on the structured data regarding the first attribute, determine the connection relationship between each immovable cultural relic within the target geographical area regarding the first attribute;

[0014] Based on the first attribute features of each immovable cultural relic, calculate the weight value corresponding to the connection relationship between each immovable cultural relic regarding the first attribute;

[0015] Construct the first connection relationship network with each immovable cultural relic as a node and the weight value corresponding to the connection relationship between each immovable cultural relic regarding the first attribute as the weight value of the edge.

[0016] In a possible implementation manner, the determining the core cultural relics in the at least one group of immovable cultural relics and generating the structure of the immovable cultural relics within the target geographical area regarding multiple attributes based on the core cultural relics in the at least one group of immovable cultural relics includes:

[0017] Extract the second attribute features of each immovable cultural relic from the information of each immovable cultural relic, and generate structured data regarding the second attribute;

[0018] Based on the structured data regarding the second attribute, construct a second connection relationship network; wherein, in the second connection relationship network, each immovable cultural relic is used as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the relevance of the two nodes regarding the second attribute;

[0019] Based on the first connection relationship network and / or the second connection relationship network, determine the core cultural relics in the at least one group of immovable cultural relics;

[0020] Based on the core cultural relics in the at least one group of immovable cultural relics, obtain the structure of the immovable cultural relics within the target geographical area regarding multiple attributes; wherein, the multiple attributes include the first attribute and the second attribute.

[0021] In a possible implementation manner, the determining the core cultural relics in the at least one group of immovable cultural relics based on the first connection relationship network and / or the second connection relationship network includes:

[0022] For any group of immovable cultural relics, based on the first connection relationship network, the weight values corresponding to the edges in the first connection relationship network, the second connection relationship network, and the weight values corresponding to the edges in the second connection relationship network, calculate the sum of the eigenvector centrality of each immovable cultural relic in the group of immovable cultural relics in the first connection relationship network and the eigenvector centrality in the second connection relationship network; determine the immovable cultural relic with the highest sum as the core cultural relic in the group of immovable cultural relics.

[0023] In a possible implementation manner, each group of immovable cultural relics contains one core cultural relic;

[0024] The obtaining the structure of the immovable cultural relics within the target geographical area regarding multiple attributes based on the core cultural relics in the at least one group of immovable cultural relics includes:

[0025] Based on the connection relationship regarding the second attribute among the immovable cultural relics in the at least one group of immovable cultural relics, establish the connection relationship among the core cultural relics in the at least one group of immovable cultural relics;

[0026] Take the sum of the weight values corresponding to the immovable cultural relics in the at least one group of immovable cultural relics as the weight value corresponding to the connection relationship among the core cultural relics in the at least one group of immovable cultural relics;

[0027] Generate the structure of immovable cultural relics within the target geographical area with respect to multiple attributes based on the at least one group of immovable cultural relics, the connection relationships among the core cultural relics in the at least one group of immovable cultural relics, and the weight values corresponding to the connection relationships among the core cultural relics in the at least one group of immovable cultural relics.

[0028] In a possible implementation, after calculating the weight values corresponding to the connection relationships regarding the first attribute among the immovable cultural relics, it further includes:

[0029] Conduct statistical analysis on the weight values corresponding to the connection relationships regarding the first attribute among the immovable cultural relics to determine the critical weight value;

[0030] Filter out the weight values less than the critical weight value among the weight values corresponding to the connection relationships regarding the first attribute among the immovable cultural relics;

[0031] Constructing the first connection relationship network with the immovable cultural relics as nodes and the weight values corresponding to the connection relationships regarding the first attribute among the immovable cultural relics as the edge weight values includes:

[0032] Construct the first connection relationship network with the immovable cultural relics as nodes and the filtered weight values corresponding to the connection relationships regarding the first attribute among the immovable cultural relics as the edge weight values.

[0033] In a possible implementation, the method further includes: performing visualization processing on the first connection relationship network, the at least one group of immovable cultural relics, and the structure of multiple attributes.

[0034] According to another aspect of the present disclosure, there is provided an apparatus for identifying relevant groups of immovable cultural relics and the structure of multiple attributes, the apparatus including:

[0035] An acquisition module, configured to acquire information of each immovable cultural relic within the target geographical area; the information of the immovable cultural relic includes one or more of name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information;

[0036] An extraction module, configured to extract the first attribute features of the immovable cultural relics from the information of the immovable cultural relics to generate structured data regarding the first attribute; the first attribute includes any one of geographical location, age, type, ownership, and historical culture;

[0037] A connection relationship construction module, configured to construct a first connection relationship network based on the structured data about the first attribute; wherein, in the first connection relationship network, each immovable cultural relic is used as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the relevance of the two nodes with respect to the first attribute;

[0038] An identification module, configured to identify at least one immovable cultural relic group in the first connection relationship network;

[0039] A multi-attribute structure construction module, configured to determine the core cultural relics in the at least one immovable cultural relic group, and generate a structure of the immovable cultural relics within the target geographical area with respect to multiple attributes based on the core cultural relics in the at least one immovable cultural relic group.

[0040] According to another aspect of the present disclosure, there is provided an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein, the processor is configured to implement the above method when executing the instructions stored in the memory.

[0041] According to another aspect of the present disclosure, there is provided a non-volatile computer-readable storage medium, on which computer program instructions are stored, wherein the computer program instructions implement the above method when executed by a processor.

[0042] According to another aspect of the present disclosure, there is provided a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code, when the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.

[0043] Through various aspects of the present disclosure, information on immovable cultural relics within the target geographical area is obtained; the information on the immovable cultural relics includes one or more of the following: name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information; first attribute features of the immovable cultural relics are extracted from the information on the immovable cultural relics to generate structured data regarding the first attribute; the first attribute includes any one of geographical location, age, type, ownership, and historical culture; based on the structured data regarding the first attribute, a first connection relationship network is constructed; wherein, in the first connection relationship network, the immovable cultural relics are used as nodes, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the relevance of the two nodes regarding the first attribute; at least one group of immovable cultural relics is identified in the first connection relationship network. In this way, by extracting key attributes, the immovable cultural relics are characterized from multiple dimensions, and structured data on the key attributes of the immovable cultural relics is generated, thereby ensuring the accuracy and comprehensiveness of the constructed first connection relationship network; furthermore, it is possible to quantitatively, efficiently, accurately, and automatically identify groups of relevant immovable cultural relics regarding the relevance between immovable cultural relics under the same key attribute, and fuse the generated groups of immovable cultural relics regarding multiple attributes based on the core cultural relics to obtain a structure regarding multiple attributes; thus revealing the hidden structure of immovable cultural relics within the target geographical area in terms of geographical space, cultural history, etc.

[0044] Other features and aspects of the present disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings, which are included in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the present disclosure and are used to explain the principles of the present disclosure together with the specification.

[0046] Figure 1 The flowchart showing a method for identifying groups of relevant immovable cultural relics and a structure regarding multiple attributes according to an embodiment of the present disclosure.

[0047] Figure 2 The schematic diagram showing the undirected weighted graph G of the connection relationship network of the target geographical area according to an embodiment of the present disclosure. j of the schematic diagram.

[0048] Figure 3 The schematic diagram showing the visualization of the connection relationship network of a target geographical area according to an embodiment of the present disclosure.

[0049] Figure 4 The schematic diagram showing the identification result of groups of relevant immovable cultural relics in the target geographical area according to an embodiment of the present disclosure.

[0050] Figure 5 Shows a mapping schematic diagram of the identification result of the associated immovable cultural relics group within the target geographical area range in the geospatial according to an embodiment of the present disclosure.

[0051] Figure 6 Shows a flowchart of a method for identifying an associated immovable cultural relics group and a multi-attribute structure according to an embodiment of the present disclosure.

[0052] Figure 7 Shows a schematic diagram of the structure of immovable cultural relics within the target geographical area range according to an embodiment of the present disclosure.

[0053] Figure 8 Shows a flowchart of a method for identifying an associated immovable cultural relics group and a multi-attribute structure according to an embodiment of the present disclosure.

[0054] Figure 9 Shows a flowchart of a method for identifying an associated immovable cultural relics group and a multi-attribute structure according to an embodiment of the present disclosure.

[0055] Figure 10 Shows a schematic diagram of the multi-attribute structure of immovable cultural relics within the target geographical area range according to an embodiment of the present disclosure.

[0056] Figure 11 Shows a structural diagram of a device for identifying an associated immovable cultural relics group and a multi-attribute structure according to an embodiment of the present disclosure.

[0057] Figure 12 Shows a block diagram of an electronic device 1900 according to an embodiment of the present disclosure. Detailed implementation manners

[0058] The following will describe various exemplary embodiments, features, and aspects of the present disclosure in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements having the same or similar functions. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0059] Describing with reference to "an embodiment" or "some embodiments" etc. in this specification means that a specific feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present disclosure. Thus, statements such as "exemplary", "in an embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "include", "comprise", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0060] In the present disclosure, "at least one" means one or more, and "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: including the existence of A alone, the existence of A and B at the same time, and the existence of B alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or plural.

[0061] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.

[0062] Figure 1 A flowchart of a method for identifying a group of related immovable cultural relics and a multi-attribute structure according to an embodiment of the present disclosure is shown. Exemplarily, the method can be executed by a device with data processing capabilities, such as a processor, a server, a terminal, etc. Figure 1 As shown, the method may include the following steps:

[0063] Step 101, obtaining information of each immovable cultural relic within the target geographical area; the information of the immovable cultural relic includes: one or more of: name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information.

[0064] The target geographical scope can be set according to needs. For example, the target geographical scope can be determined according to the planning scope selected by the user. There are no restrictions on the size of the target geographical scope and the number of immovable cultural relics contained in the target geographical scope. For example, the target geographical scope can be 1 district (county). It should be noted that the target geographical scope includes at least one immovable cultural relic.

[0065] Among them, immovable cultural relics refer to cultural relics with fixed geographical location, which cannot or should not be moved; for example, ancient cultural sites, ancient tombs, ancient buildings, grottoes and stone carvings, murals, important modern and contemporary historical sites, representative buildings, etc. are all immovable cultural relics.

[0066] As an example, for any immovable cultural relic, the information of the immovable cultural relic includes: the name of the immovable cultural relic, the geographical location of the immovable cultural relic (including the address and geographical coordinates), the age of the immovable cultural relic, the type of the immovable cultural relic, the ownership of the immovable cultural relic, the historical and cultural information of the immovable cultural relic, the natural environment information of the immovable cultural relic, and the social environment information of the immovable cultural relic. Among them, the historical and cultural information of the immovable cultural relic may include: the external style of the immovable cultural relic, the historical figures and historical stories related to the cultural relic, the historical and cultural connotations represented by the cultural relic, etc.; the natural environment information of the immovable cultural relic may include: the natural geographical conditions where the cultural relic is located, the climate type, etc.; the social environment information of the immovable cultural relic may include: the type of space where the cultural relic is located, the name of the community, the traffic conditions, etc. Exemplarily, according to the administrative region names included in the target geographical area, the name, address, age, type, ownership, etc. of the immovable cultural relics can be obtained from public information or the cultural relic department. The geographical coordinates can be obtained by searching for the address on the map and using the coordinate picking tool; information such as the introduction of the immovable cultural relics can also be obtained through the Internet, books, databases or by applying to the cultural relic department.

[0067] Exemplarily, the information of the immovable cultural relics can be in different forms such as text, image, video, voice, etc., and there is no limitation on this.

[0068] In a possible implementation manner, each immovable cultural relic within the target geographical area can be incorporated into the immovable cultural relic dataset H = [h i (i = 1, 2,..., M); where M represents the number of immovable cultural relics within the target geographical area, i represents the immovable cultural relic index, and h i represents the i-th immovable cultural relic within the target geographical area.

[0069] Step 102: Extract the first attribute features of the immovable cultural relics from the information of the immovable cultural relics to generate structured data regarding the first attribute; the first attribute includes any one of geographical location, age, type, ownership, and historical culture.

[0070] Among them, an attribute refers to the inherent nature of a thing itself, which is the basic characteristic of the thing. An attribute with relatively high importance is called a key attribute, and it can be selected from a preset multiple attributes (including but not limited to geographical location, age, type, ownership, and historical culture) according to needs. As an example, an attribute dataset P = [p j (j = 1, 2,..., N) can be established in advance, where N represents the number of preset key attributes, j represents the key attribute index, and p j represents the j-th key attribute; any one key attribute can be selected from the attribute dataset P as the first attribute.

[0071] Among them, the structured data of the attribute features is called the attribute value. Exemplarily, for any immovable cultural relic, the geographical location attribute feature represents the longitude and latitude where the immovable cultural relic is located; the historical and cultural attribute feature represents the historical and cultural connotations that the immovable cultural relic can express, such as: cultural themes (such as red culture), historical events, historical figures, etc.; the age attribute feature represents the construction age of the immovable cultural relic; the type attribute feature represents which type the immovable cultural relic belongs to among ancient cultural sites, ancient tombs, ancient buildings, grottoes and stone carvings, murals, important historical sites and representative buildings in modern and contemporary times, etc.; the ownership attribute feature represents the entity to which the immovable cultural relic belongs.

[0072] Since the information of the immovable cultural relics obtained above is unstructured data containing multiple elements such as geography, history, and humanities; however, the data structure of this unstructured data is irregular or incomplete, and it is not convenient to represent it with a database two-dimensional logical table. Therefore, in this step, for any immovable cultural relic within the target geographical area, the first attribute feature of the immovable cultural relic is extracted from the information of the immovable cultural relic, and then based on each immovable cultural relic within the target geographical area and the first attribute features of each immovable cultural relic, structured data about the first attribute is constructed; among them, structured data represents information stored in a fixed format or pattern, and can usually be quickly retrieved and processed. Structured data can also be called a database, row data, etc. In this way, the unstructured data of the information of the immovable cultural relics is converted into structured data containing the first attribute, so as to perform subsequent processing more quickly and efficiently.

[0073] Exemplarily, the extraction of attribute features can be implemented in an existing manner. For example, for the information of immovable cultural relics in text form, language fragments or keywords describing the first attribute can be automatically identified and extracted from the text, so as to extract the features of the first attribute.

[0074] As an example, the key attribute p in the attribute data set P can be selected j as the first attribute; for any immovable cultural relic h in the immovable cultural relic data set H i , that is, any immovable cultural relic within the target area, the key attribute feature of the immovable cultural relic h i about the key attribute p i is extracted from the information of the immovable cultural relic h j ; correspondingly, all the key attributes in the attribute data set P and all the immovable cultural relics in the immovable cultural relic data set H can be traversed, so as to extract the features of all the immovable cultural relics in the immovable cultural relic data set H about each key attribute in the attribute data set P, and store them in the attribute feature data set X = [x ij(i = 1, 2, …, M; j = 1, 2, …, N), where i and j respectively represent the indexes of immovable cultural relics and key attributes, and x ij represents the j-th key attribute feature of the i-th immovable cultural relic, M represents the number of immovable cultural relics within the target geographical area, and N represents the number of preset key attributes; the attribute feature dataset X contains structured data regarding each key attribute.

[0075] Step 103: Based on the structured data regarding the first attribute, construct a first connection relationship network; in the first connection relationship network, each immovable cultural relic is used as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the relevance of the two nodes regarding the first attribute.

[0076] As an example, the first connection relationship network can be a weighted undirected graph, which includes nodes, edges connecting the nodes, and weight values corresponding to the edges. Among them, each immovable cultural relic within the target geographical area is a node in the weighted undirected graph, the connection line between the nodes corresponding to two immovable cultural relics with relevance regarding the first attribute is the edge, each edge represents the connection relationship between immovable cultural relics, and the weight value corresponding to the edge is used to characterize the strength of the relevance of the nodes at both ends of the edge regarding the first attribute, that is, the strength of the relevance between the two immovable cultural relics corresponding to the nodes at both ends of the edge.

[0077] In a possible implementation manner, in this step, the constructing of the first connection relationship network based on the structured data regarding the first attribute includes: determining the connection relationship between each immovable cultural relic within the target geographical area regarding the first attribute based on the structured data regarding the first attribute; calculating the weight value corresponding to the connection relationship between each immovable cultural relic regarding the first attribute based on the first attribute features of each immovable cultural relic; constructing the first connection relationship network with each immovable cultural relic as a node and the weight value corresponding to the connection relationship between each immovable cultural relic regarding the first attribute as the weight value of the edge.

[0078] Among them, the connection relationship represents the associative relationship between different immovable cultural relics under a certain attribute. Exemplarily, based on the structured data regarding the first attribute, determining the connection relationship regarding the first attribute between each immovable cultural relic within the target geographical area may include: the connection relationship of the first attribute can be predefined, and then based on the definition of the connection relationship of the first attribute and the first attribute characteristics of each immovable cultural relic in the structured data of the first attribute, the immovable cultural relics that meet this definition are selected, and for any two selected immovable cultural relics, a connection relationship regarding the first attribute is established between these two immovable cultural relics, so as to quantitatively construct the connection relationship between each immovable cultural relic within the target geographical area under the same attribute. For example, taking the first attribute as the geographical location attribute, it can be predefined that any two immovable cultural relics are associated. The structured data regarding the geographical location attribute contains the geographical attribute characteristics of each immovable cultural relic, and a connection relationship regarding the geographical attribute can be established for any two immovable cultural relics; for another example, taking the first attribute as the age attribute, it can be predefined that immovable cultural relics belonging to the same age are associated. The structured data regarding the age attribute contains the age attribute characteristics of each immovable cultural relic, then for any two immovable cultural relics within the same age, a connection relationship regarding the age attribute can be established.

[0079] Among them, the calculation of the weight value corresponding to the connection relationship regarding the first attribute between any two immovable cultural relics satisfies that when the correlation between the two immovable cultural relics in the first attribute is stronger, the weight value is larger; conversely, the weight value is smaller, and the weight value ≥ 0. Exemplarily, based on the first attribute features of the immovable cultural relics, calculating the weight value corresponding to the connection relationship regarding the first attribute between the immovable cultural relics may include: based on the first attribute features of the immovable cultural relics, calculating the weight value corresponding to the connection relationship regarding the first attribute between the immovable cultural relics according to the definition of the weight value of the first attribute. For example, taking the first attribute as the geographical location attribute, the definition of the weight value of the geographical location attribute is: taking the reciprocal of the geographical distance D between two immovable cultural relics as the weight value w corresponding to the connection relationship regarding the geographical location attribute between the two immovable cultural relics, that is, w = 1 / D. For example, based on the longitude and latitude data of the two immovable cultural relics and combining with the ellipsoidal geodetic distance optimization algorithm, the geographical distance D between the two immovable cultural relics and the weight value 1 / D corresponding to the connection relationship regarding the geographical location attribute between the two immovable cultural relics can be calculated. From the definition of this weight value, it can be known that the larger the weight value, the closer the geographical distance between the two immovable cultural relics, and the stronger the connection relationship regarding the geographical location attribute between the two immovable cultural relics; conversely, the weaker. Taking the first attribute as the historical and cultural attribute as an example, the definition of the weight value of the historical and cultural attribute is: taking the similarity score between two immovable cultural relics in the historical and cultural attribute as the weight value corresponding to the connection relationship regarding the cultural relic attribute between the two immovable cultural relics. For example, based on the cultural themes, historical events, and historical figures of the two immovable cultural relics, the similarity scores of the two immovable cultural relics in aspects such as cultural themes, historical events, and historical figures can be calculated respectively through the similarity algorithm, and the similarity score is used as the weight value corresponding to the connection relationship regarding the cultural relic attribute between the two immovable cultural relics; from the definition of this weight value, it can be known that the smaller the weight value, the lower the similarity between the two immovable cultural relics in aspects such as cultural themes, historical events, and historical figures, and conversely, the higher.

[0080] Exemplarily, after calculating the weight values corresponding to the connection relationships between the immovable cultural relics with respect to the first attribute, the following steps may further be included: statistically analyzing the weight values corresponding to the connection relationships between the immovable cultural relics with respect to the first attribute to determine a critical weight value; filtering out the weight values less than the critical weight value among the weight values corresponding to the connection relationships between the immovable cultural relics with respect to the first attribute; constructing the first connection relationship network with the immovable cultural relics as nodes and the weight values corresponding to the connection relationships between the immovable cultural relics with respect to the first attribute as the edge weight values may further include: constructing the first connection relationship network with the immovable cultural relics as nodes and the filtered weight values corresponding to the connection relationships between the immovable cultural relics with respect to the first attribute as the edge weight values. Among them, the selection of the critical weight value may be determined based on the mathematical statistical analysis of the connection relationship data between the immovable cultural relics within the target geographical area constructed above, satisfying that when the weight value is greater than the critical weight value, the correlation between two immovable cultural relics with respect to the first attribute is relatively strong, and when the weight value is not greater than the critical weight value, the correlation between two immovable cultural relics with respect to the first attribute is relatively weak, and then deleting the connection relationship data corresponding to the weight values not greater than the critical weight value; for example, taking the first attribute as the geographical location, the mathematical statistical analysis may be performed on the weight values corresponding to the connection relationships of the immovable cultural relics with respect to the geographical location attribute, and the critical weight value w c = 1 / D c , where D cis the critical geographical distance; taking the first attribute as historical and cultural attribute as an example, statistical analysis methods such as the natural break method can be used to group the weight values ​​corresponding to the connection relationship between the immovable cultural relics regarding the cultural relic attributes, determine the critical weight value, and thus delete the low weight value. Among them, the natural break method is a statistical method for grading and classifying according to the statistical distribution law of numerical values. Its core idea is to maximize the similarity within each group and the difference between groups. This method divides the research objects into groups with similar properties by finding the natural turning points and characteristic points of the data. The natural break method not only focuses on the similarity within the group, but also takes into account the range and quantity of elements between groups to be as close as possible. In this way, based on the critical weight value, the connection relationship between the immovable cultural relics in the target area regarding the first attribute is subjected to noise reduction processing, the strong connection relationship between the immovable cultural relics regarding the first attribute is screened out, and the weak connection relationship between the immovable cultural relics regarding the first attribute is filtered out; thereby achieving the process of reducing or eliminating the noise in the connection relationship data about the first attribute between the immovable cultural relics and improving the quality and reliability of the connection relationship data for subsequent processing; at the same time, in view of the large target area and the large amount of data on the connection relationship between the immovable cultural relics regarding the first attribute, the noise reduction processing can effectively reduce the amount of data, thereby improving the efficiency of subsequent data processing, and further improving the accuracy of identifying the immovable cultural relics group, making each identified immovable cultural relics group clearer.

[0081] As an example, for a key attribute p in the attribute dataset P j , can be based on the key attribute p j The definition of the key attribute p of each immovable cultural relic in the attribute feature dataset X j characteristics, determine the key attribute p between any two immovable cultural relics that meet the definition within the target area j , thereby constructing the relationship between all immovable cultural relics in the target area with respect to the key attribute p j and incorporate it into the key attribute p j The connection relationship dataset R j =[r q ](q=1,2,…,Z), where Z represents the number of connection relationships, j and q represent the indexes of key attributes and connection relationships respectively; r q Represented as the key attribute p j The data pairs of immovable cultural relics with correlation are R j =[r q ]=[h q1 ,h q2 ], where h q1 With h q2respectively represent the q1-th immovable cultural relic with relevance to the key attribute p within the target area and the q2-th immovable cultural relic within the target area, where q1 and q2 are both positive integers within the range of [1, M]. Then, for the key attribute p j data, based on the characteristics of each immovable cultural relic in the attribute feature dataset X regarding the key attribute p j calculate the weight values corresponding to each connection relationship r j in the connection relationship dataset R j and store the weight values in the connection relationship dataset q w in order to establish an immovable cultural relic connection relationship dataset containing weight data q Among them, w q represents the weight value corresponding to the connection relationship regarding the key attribute pbetween the immovable cultural relic h q1 and the immovable cultural relic h q2 ; furthermore, based on the characteristics of the immovable cultural relic connection relationship dataset j select a critical weight value w c and filter out the connection relationship data r c corresponding to the weight value w q that is less than the critical weight value w q ; among them, the value of the critical weight value w c satisfies that when the weight value w q is greater than the critical weight value w c j , the relevance between the two immovable cultural relics is relatively strong. After this noise reduction process, the filtered immovable cultural relic connection relationship dataset is obtained Finally, based on the immovable cultural relic dataset H and its connection relationship dataset construct a connection relationship network of immovable cultural relics in the target area under the key attribute p j , and the connection relationship network is represented as an undirected weighted graph Among them, all the immovable cultural relics within the target area included in the immovable cultural relic dataset H serve as the nodes in the undirected weighted graph G j , and the connection relationship dataset after noise reduction includes the connection relationship and the weight value corresponding to the connection relationship between two nodes in the undirected weighted graph G j . Figure 2 shows a schematic diagram of the undirected weighted graph G of the connection relationship network of the target area according to an embodiment of the present disclosure j ; as shown in Figure 2As shown, the immovable cultural relics dataset H includes 5 immovable cultural relics (i.e., h 1 , h 2 , h 3 , h 4 , h 5 ). The connection relationship dataset includes the weight values corresponding to the connection relationships between these 5 immovable cultural relics regarding the key attribute p j (i.e., w 1 , w 2 , w 3 , w 4 , w 5 , w 6 ). Among them, a weight value of 0 indicates that there is no correlation between these two immovable cultural relics, or they are filtered out due to weak correlation and a weight value less than the critical weight value. Using h 1 , h 2 , h 3 , h 4 , h 5 as nodes, and the connection relationships between h 1 , h 2 , h 3 , h 4 , h 5 as edges, and w 1 , w 2 , w 3 , w 4 , w 5 , w 6 as the weight values corresponding to the edges, an undirected weighted graph G j under the key attribute p j of each immovable cultural relic within the target geographical area is generated.

[0082] In a possible implementation manner, after constructing the first connection relationship network, the first connection relationship network can also be visually processed; thereby realizing the construction of the connection relationship network of each immovable cultural relic within the target geographical area regarding the first attribute and realizing the visualization of the connection relationship network.

[0083] Exemplarily, the visualization of the first connection relationship network can be realized by using existing network visualization software. Among them, the network visualization software can include Gephi, NodeXL, Pajek, etc.

[0084] As an example, taking the use of Gephi to perform network visualization on the above-mentioned undirected weighted graph G j as an example, the "node data table" (i.e., the immovable cultural relics dataset H) and the "edge data table" (i.e., the connection relationship dataset ) Visualization operations can be performed through the "Overview" or "Preview" tab. Figure 3 A schematic diagram showing the visualization of the connection relationship network of a target geographical area according to an embodiment of the present disclosure, as Figure 3 shown, for the undirected weighted graph G of the target geographical area j Visualize, and each dot in the figure is an undirected weighted graph G j in a node, representing an immovable cultural relic within the target geographical area; the connection line between any two dots is an undirected weighted graph G j in an edge, representing the connection relationship between two immovable cultural relics within the target geographical area regarding the key attribute p j .

[0085] Step 104: Identify at least one group of immovable cultural relics in the first connection relationship network.

[0086] In a possible implementation manner, the at least one group of immovable cultural relics can be visualized. Among them, the possible implementation manners of visualization processing can refer to the relevant expressions for visualizing the first connection relationship network described above.

[0087] Among them, in a possible implementation manner, the connection relationship network of immovable cultural relics can be analyzed based on the community discovery model, and the relevant immovable cultural relic groups in the first connection relationship network can be identified. The immovable cultural relics in the same group of immovable cultural relics have a strong correlation regarding the first attribute, thereby revealing the implicit structure of each immovable cultural relic within the target geographical area in terms of geographical space, cultural history, etc. It should be noted that the relevant immovable cultural relic groups can also be identified through other cultural relic network structure analysis methods, and no limitation is imposed on this.

[0088] Exemplarily, an existing community discovery model can be used to analyze the first connection relationship network constructed above, and the relevant immovable cultural relic groups in the first connection relationship network can be identified based on the modularity iterative optimization algorithm (for example, Louvain algorithm, LabelPropagation Algorithm algorithm) matching the community discovery model; among them, modularity is an important indicator for measuring the quality of graph partitioning, which reflects the degree to which nodes in the graph are correctly assigned to each module (or community); high modularity means that the connections within the modules in the partitioning result are tight, while the connections between the modules are relatively sparse; it should be noted that for any immovable cultural relic, the immovable cultural relic can only belong to one relevant immovable cultural relic group and satisfy the maximization of the modularity of the first connection relationship network.

[0089] As an example, using the Gephi community identification plug-in and adopting the Louvain algorithm to identify the above Figure 3Undirected weighted graph G in j Taking the immovable cultural relics group with relevance as an example, Figure 4 A schematic diagram showing the recognition result of the immovable cultural relics group with relevance in the target geographical area according to an embodiment of the present disclosure, such as Figure 4 As shown, the dots of the same color represent the immovable cultural relics belonging to the same immovable cultural relics group with relevance; the immovable cultural relics groups where the dots of different colors are located are the identified different immovable cultural relics groups. Figure 5 A schematic diagram showing the mapping of the recognition result of the immovable cultural relics group with relevance in the target geographical area in the geographical space according to an embodiment of the present disclosure; such as Figure 5 As shown, the dots represent the immovable cultural relics within the target geographical area, and all the immovable cultural relics within the target geographical area are divided into multiple immovable cultural relics groups with relevance.

[0090] Step 105: Determine the core cultural relics in the at least one immovable cultural relics group, and generate a structure of the immovable cultural relics within the target geographical area with respect to multiple attributes based on the core cultural relics in the at least one immovable cultural relics group.

[0091] In a possible implementation manner, the structure with multiple attributes can be visually processed. Among them, the possible implementation manners of the visual processing can refer to the related descriptions of visualizing the first connection relationship network mentioned above.

[0092] Among them, the core cultural relics refer to the immovable cultural relics that can best represent the relevance of the immovable cultural relics groups with respect to the second attribute among the immovable cultural relics groups in the first connection network.

[0093] Exemplarily, each immovable cultural relics group contains one core cultural relic.

[0094] Among them, the multiple attributes may include the first attribute and at least one other attribute. Exemplarily, the structure with respect to multiple attributes may be a weighted undirected graph.

[0095] In this way, through the above steps 101-105, the automatic recognition of the immovable cultural relics group with relevance with respect to the first attribute within the target geographical area and the structure of the immovable cultural relics within the target geographical area with respect to multiple attributes is realized. The user can select different target geographical areas as needed, so as to obtain the immovable cultural relics groups with respect to the first attribute in different geographical areas. Also, for the same target geographical area, different attributes can be selected as the first attribute, so as to realize the construction of the connection relationship network of the immovable cultural relics with diverse key attributes, and identify the immovable cultural relics groups with respect to different attributes within the target geographical area; furthermore, the core cultural relics in the immovable cultural relics group can be determined, and based on the core cultural relics, a structure of the immovable cultural relics within the target geographical area with respect to multiple attributes can be generated.

[0096] In the embodiments of the present disclosure, information on immovable cultural relics within the target geographical area is obtained; the information on immovable cultural relics includes one or more of: name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information; the first attribute features of the immovable cultural relics are extracted from the information on the immovable cultural relics to generate structured data regarding the first attribute; the first attribute includes any one of geographical location, age, type, ownership, and historical culture; based on the structured data regarding the first attribute, a first connection relationship network is constructed; wherein, in the first connection relationship network, the immovable cultural relics are used as nodes, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the correlation between the two nodes regarding the first attribute; at least one group of immovable cultural relics is identified in the first connection relationship network. In this way, by extracting key attributes, the immovable cultural relics are characterized from multiple dimensions, generating structured data on the key attributes of the immovable cultural relics, thereby ensuring the accuracy and comprehensiveness of the constructed first connection relationship network; furthermore, it is possible to quantitatively, efficiently, accurately, and automatically identify groups of relevant immovable cultural relics based on the correlation between immovable cultural relics under the same key attribute, and fuse the generated groups of immovable cultural relics regarding multiple attributes based on the core cultural relics to obtain a structure regarding multiple attributes; thus revealing the hidden structure of immovable cultural relics within the target geographical area in terms of geographical space, cultural history, etc. At the same time, the embodiments of the present disclosure can accurately identify groups of immovable cultural relics with relevance within the same key attribute based on different key attributes of immovable cultural relics, and can reveal the hidden structure of immovable cultural relics in terms of geographical space, cultural history, etc.; since the method for identifying groups of relevant immovable cultural relics and the multiple-attribute structure is a quantitative analysis method based on structured data, the identification of groups of immovable cultural relics is not affected by the subjective judgment of researchers, significantly improving the speed, stability, and accuracy of identifying groups of relevant immovable cultural relics. In addition, for the problem in the prior art that identifying a wider geographical area (such as a provincial or national area) means a significant increase in the number of immovable cultural relics involved, resulting in a significant increase in the time and material costs consumed by the research on their relevance, the method in the embodiments of the present disclosure is not limited by the size of the target geographical area and the number of immovable cultural relics within the target geographical area, so as to better support the construction of the connection relationship network of immovable cultural relics within a wider geographical area and the rapid identification of groups of relevant immovable cultural relics.

[0097] Figure 6 The flowchart showing a method for identifying groups of relevant immovable cultural relics and a multiple-attribute structure according to an embodiment of the present disclosure is as follows. As Figure 6 shown, the above Figure 1A possible implementation of step 105 may include:

[0098] Step 601: Extract the second attribute features of each immovable cultural relic from the information of each immovable cultural relic, and generate structured data regarding the second attribute.

[0099] Among them, the second attribute includes any one of geographical location, age, type, ownership, and historical culture, and the second attribute is different from the first attribute.

[0100] In this step, the specific process of generating structured data regarding the second attribute may refer to the relevant description of generating structured data of the first attribute in step 102 above, which will not be elaborated here.

[0101] Step 602: Based on the structured data regarding the second attribute, construct a second connection relationship network; among them, in the second connection relationship network, each immovable cultural relic is used as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the relevance of the two nodes regarding the second attribute.

[0102] Among them, the second connection relationship network has the same number of nodes as the first connection relationship network, that is, both include all immovable cultural relics within the target geographical area. As an example, the second connection relationship network is a weighted undirected graph.

[0103] Exemplarily, after constructing the second connection relationship network, the second connection relationship network can also be visually processed.

[0104] In this step, the specific process of generating and constructing the second connection relationship network and visual processing may refer to the relevant description of constructing the first connection relationship network in step 103 above, which will not be elaborated here.

[0105] Step 603: Based on the first connection relationship network and / or the second connection relationship network, determine the core cultural relics in the at least one immovable cultural relic group.

[0106] Among them, the role of the core cultural relics is to find a "core representative" for the cultural relic group identified in the first connection relationship network, so as to realize the superimposed construction of the first connection relationship network and the second connection relationship network, making the structure of immovable cultural relics within the target geographical area clearer. In this step, the core cultural relics can be determined based on the first connection relationship network; or, based on the second connection relationship network, determine the core cultural relics; or, comprehensively consider the first connection relationship network and the second connection relationship network to determine the core cultural relics.

[0107] In a possible implementation manner, determining the core cultural relics in the at least one immovable cultural relic group based on the first connection relationship network and / or the second connection relationship network includes: for any immovable cultural relic group, based on the first connection relationship network, the weight values corresponding to the edges in the first connection relationship network, the second connection relationship network, and the weight values corresponding to the edges in the second connection relationship network, calculating the sum of the eigenvector centrality of each immovable cultural relic in the first connection relationship network and the eigenvector centrality in the second connection relationship network; determining the immovable cultural relic with the highest sum as the core cultural relic in this immovable cultural relic group. In this way, the core cultural relics in each immovable cultural relic group are determined based on a diversified method; among them, other evaluation systems can also be used to determine the core cultural relics, which is not limited herein.

[0108] Among them, in the calculation of eigenvector centrality, the importance of a node depends not only on the number of its adjacent nodes but also on the importance of its adjacent nodes. Compared with other types of centrality measurement indicators, eigenvector centrality not only considers the influence of a single node on other nodes but also considers the influence possessed by the adjacent nodes affected by this node. Therefore, the ability of node diffusion influence is taken into account, which conforms to the law of influence diffusion in the protection and utilization of immovable cultural relics. Exemplarily, for any immovable cultural relic group identified in the first connection relationship network above, based on the weight values corresponding to the edges in the first connection relationship network and the weight values corresponding to the edges in the second connection relationship network, that is, the weight values corresponding to the connection relationships regarding the first attribute and the connection relationships regarding the second attribute among the immovable cultural relics, network analysis software such as Gephi and UCINET can be used to calculate the sum of the eigenvector centrality of each immovable cultural relic in the first connection relationship network and the second connection relationship network respectively; furthermore, the immovable cultural relic with the highest sum of eigenvector centrality can be determined as the core cultural relic in this immovable cultural relic group. It should be noted that other existing methods can also be used to determine the core cultural relics, which is not limited herein.

[0109] Step 604, obtaining the structure of the immovable cultural relics in the target geographical area regarding multiple attributes based on the core cultural relics in the at least one immovable cultural relic group; where the multiple attributes include the first attribute and the second attribute.

[0110] In a possible implementation manner, obtaining the structure of immovable cultural relics within the target geographical area with respect to multiple attributes based on the core cultural relics in the at least one group of immovable cultural relics may include: establishing the connection relationship between the core cultural relics in the at least one group of immovable cultural relics based on the connection relationship regarding the second attribute between the immovable cultural relics in the at least one group of immovable cultural relics; taking the sum of the corresponding weight values between the immovable cultural relics in the at least one group of immovable cultural relics as the weight value corresponding to the connection relationship between the core cultural relics in the at least one group of immovable cultural relics; generating the structure of immovable cultural relics within the target geographical area with respect to multiple attributes based on the at least one group of immovable cultural relics, the connection relationship between the core cultural relics in the at least one group of immovable cultural relics, and the weight value corresponding to the connection relationship between the core cultural relics in the at least one group of immovable cultural relics.

[0111] Among them, the connection relationship between the core cultural relics in the at least one group of immovable cultural relics represents the connection relationship between the at least one group of immovable cultural relics; exemplarily, establishing the connection relationship between the core cultural relics in the at least one group of immovable cultural relics based on the connection relationship regarding the second attribute between the immovable cultural relics in the at least one group of immovable cultural relics may include: for all the core cultural relics in the above-determined second connection relationship network, determining the connection relationship regarding the second attribute between the immovable cultural relics in the immovable cultural relic groups where any two core cultural relics are located as the connection relationship between these two core cultural relics.

[0112] Among them, the weight value corresponding to the connection relationship between the core cultural relics in the at least one group of immovable cultural relics represents the weight value corresponding to the connection relationship between the at least one group of immovable cultural relics. Exemplarily, for the core cultural relics in any two groups of immovable cultural relics, the weight value corresponding to the connection relationship between these two core cultural relics can be determined by the weight values corresponding to the connection relationships regarding the second attribute between the immovable cultural relics in these two groups of immovable cultural relics. For example, the sum of the weight values corresponding to the connection relationships regarding the second attribute between the immovable cultural relics in these two groups of immovable cultural relics can be taken as the weight value corresponding to the connection relationship between these two core cultural relics, so as to realize the conversion of the sum of the weight values corresponding to the connection relationships regarding the second attribute between the immovable cultural relics in the second connection relationship network into the weight value of the connection relationship regarding the second attribute between the core cultural relics of each immovable cultural relic group in the first connection relationship network.

[0113] Exemplarily, based on the at least one immovable cultural relic group, the connection relationships among the core cultural relics in the at least one immovable cultural relic group, and the weight values corresponding to the connection relationships among the core cultural relics in the at least one immovable cultural relic group, generating the structure of the immovable cultural relics in the target geographical area with respect to multiple attributes may include: using each immovable cultural relic in the target geographical area as a node in the structure with respect to multiple attributes, using the connection relationships with respect to the first attribute among each immovable cultural relic in the target geographical area and the connection relationships with respect to the second attribute among the core cultural relics in each immovable cultural relic group as edges, and using the weight values corresponding to the respective connection relationships as the weight values corresponding to the respective edges, to form a structure with respect to multiple attributes.

[0114] As an example, Figure 7 A schematic diagram showing the structure of immovable cultural relics in a target geographical area according to an embodiment of the present disclosure is shown, as Figure 7 shown. The cultural relic structure in the target geographical area is a structure with respect to multiple attributes. Among them, the dots in the structure represent the immovable cultural relics in the target geographical area, the green dots represent the immovable cultural relics of red culture, the red dots represent the determined core cultural relics, the yellow polygons in the structure are the identified immovable cultural relic groups with respect to geographical attributes, and the different thicknesses of the edges in the structure represent different weight values; among them, the edges in the left figure represent the connection relationships with respect to historical and cultural attributes among the immovable cultural relics in each immovable cultural relic group with respect to geographical location attributes, and the edges in the right figure represent the connection relationships with respect to historical and cultural attributes among the immovable cultural relic groups with respect to geographical location attributes.

[0115] In an embodiment of the present disclosure, for the relevance of each immovable cultural relic in the target geographical area with respect to the second attribute, a second connection relationship network is constructed, and the core cultural relics of each relevant immovable cultural relic group in the first connection relationship network are determined. Furthermore, based on the core cultural relics, the immovable cultural relic groups generated with respect to multiple attributes are fused to obtain a structure with respect to multiple attributes, that is, the "first attribute - second attribute" structure of each immovable cultural relic in the target geographical area.

[0116] Next, taking the first attribute as the geographical location attribute as an example, an exemplary description is given of the above-mentioned relevant immovable cultural relic group and the method for identifying the structure with respect to multiple attributes.

[0117] Figure 8 A flowchart of a method for identifying a relevant immovable cultural relic group and a structure with respect to multiple attributes according to an embodiment of the present disclosure is shown. As Figure 8 shown, it includes the following steps:

[0118] Step 801: Obtain the information of each immovable cultural relic in the target geographical area.

[0119] The possible implementation of this step 801 can refer to the relevant description in step 101 above. Figure 1 in the relevant description of step 101.

[0120] Step 802: Extract the geographical location attribute features of each immovable cultural relic from the information of each immovable cultural relic.

[0121] Through this step, the unstructured data of multiple elements such as geography, history, and culture of immovable cultural relics is converted into structured data containing geographical location attributes.

[0122] The possible implementation of this step 802 can refer to the relevant description in step 102 above. Figure 1 in the relevant description of step 102.

[0123] Step 803: Quantitatively construct the connection relationships of each immovable cultural relic under the same geographical location attribute.

[0124] Step 804: Calculate the weight values corresponding to the connection relationships of immovable cultural relics with respect to geographical location attributes based on the geographical location attribute features of immovable cultural relics.

[0125] Step 805: Perform noise reduction processing on the immovable cultural relic connection relationship data based on the weight values corresponding to the connection relationships of immovable cultural relics with respect to geographical location attributes, and screen out the strong connection relationships between immovable cultural relics.

[0126] Step 806: Construct a connection relationship network of immovable cultural relics with respect to geographical location attributes and visualize this connection relationship network.

[0127] The possible implementations of the above steps 803 - 806 can refer to the relevant descriptions in step 103 above. Figure 1 in the relevant description of step 103.

[0128] Step 807: Analyze this connection relationship network based on the community discovery model to identify the associated groups of immovable cultural relics in this connection relationship network.

[0129] The possible implementation of this step 807 can refer to the relevant description in step 104 above. Figure 1 in the relevant description of step 104.

[0130] In the embodiments of the present disclosure, adopting the strategy of "geographical location attribute extraction - quantitative connection construction - weighted noise reduction processing - cultural relic network construction - identification of associated groups of immovable cultural relics" can quantitatively and accurately identify the associated groups of immovable cultural relics for geographical location attributes, thereby revealing the hidden structures of immovable cultural relics in geographical space, cultural history, etc. within the target geographical area.

[0131] Taking the first attribute as the geographical location attribute and the second attribute as the historical and cultural attribute as an example, the above-mentioned method for identifying associated immovable cultural relic groups and multi-attribute structures will be exemplarily described below.

[0132] Figure 9 The flowchart showing a method for identifying associated immovable cultural relic groups and multi-attribute structures according to an embodiment of the present disclosure is as follows. As Figure 9 shown, it includes the following steps:

[0133] Step 901, obtain information on each immovable cultural relic within the target geographical area.

[0134] The possible implementation manner of this step 901 can refer to the relevant description in step 101 above. Figure 1 in step 101.

[0135] Step 902, extract the geographical location attribute features of the immovable cultural relics and construct structured data including longitude and latitude.

[0136] The possible implementation manner of this step 902 can refer to the relevant description in step 102 above. Figure 1 in step 102.

[0137] Step 903, calculate the geographical distances between the immovable cultural relics based on the longitude and latitude, and construct the connection relationship between the immovable cultural relics with the reciprocal of the geographical distance as the weight value.

[0138] Step 904, select a weight threshold to perform noise reduction processing on the connection relationship regarding the geographical location attribute.

[0139] Step 905, construct the connection relationship network of the immovable cultural relics regarding the geographical location attribute and visualize this connection relationship network.

[0140] The possible implementation manners of this step 904 and 905 can refer to the relevant description in step 103 above. Figure 1 in step 103.

[0141] Step 906, analyze the connection relationship network of the immovable cultural relics regarding the geographical location attribute based on the community discovery model, and identify the groups of immovable cultural relics with close geographical association.

[0142] The possible implementation manner of this step 906 can refer to the relevant description in step 104 above. Figure 1 in step 104.

[0143] In this way, through the above steps 901 - 906, the identification of the groups of immovable cultural relics with close geographical association is completed.

[0144] Step 907, extract the historical and cultural attribute features of each immovable cultural relic within the target geographical area and construct structured data including historical and cultural attributes.

[0145] The possible implementation of step 907 can refer to the relevant description in step 601 above. Figure 6 in the above.

[0146] Step 908: Calculate the historical and cultural similarity scores, and construct the connection relationships between immovable cultural relics with the historical and cultural similarity scores as the weight values.

[0147] Among them, the higher the similarity in terms of cultural themes, historical events, historical figures, etc., the higher the score. The connection relationship with the historical and cultural similarity score as the weight value is the connection relationship regarding historical and cultural attributes.

[0148] Step 909: Select a weight threshold to perform noise reduction processing on the connection relationships regarding historical and cultural attributes.

[0149] Exemplarily, methods such as the natural segmentation method can be used to group the weight values corresponding to the connection relationships of immovable cultural relics regarding historical and cultural attributes, and filter out the low-weight groups.

[0150] Step 910: Construct a connection relationship network of immovable cultural relics regarding historical and cultural attributes, and realize the visualization of this connection relationship network.

[0151] The possible implementation of steps 908 - 910 can refer to the relevant description in step 602 above. Figure 6 in the above.

[0152] Step 911: Calculate the core cultural relics in the group of immovable cultural relics with close geographical association.

[0153] As a possible implementation, the sum of the eigenvector centrality of each immovable cultural relic in the geographical connection relationship network and the eigenvector centrality in the historical and cultural connection relationship network can be calculated, and the immovable cultural relic with the highest sum of eigenvector centrality in each group of immovable cultural relics regarding geographical location attributes is the core cultural relic.

[0154] The possible implementation of step 911 can refer to the relevant description in step 603 above. Figure 6 in the above.

[0155] Step 912: Convert the connection relationships regarding historical and cultural attributes between immovable cultural relics into the connection relationships between the core cultural relics in the group of immovable cultural relics with close geographical association, and obtain the "geographical - historical and cultural" structure of the cultural relics in the target geographical area.

[0156] Exemplarily, a group of immovable cultural relics with close geographical association can be regarded as a new node, and the sum of the weight values corresponding to the connection relationships regarding historical and cultural attributes between the immovable cultural relics is converted into the weight values corresponding to the connection relationships regarding historical and cultural attributes between each group of immovable cultural relics.

[0157] Among them, the "geography - historical culture" structure is based on the structure regarding geographical location attributes and historical and cultural attributes.

[0158] The possible implementation manner of this step 912 can refer to the relevant description in step 604 above Figure 6 in the above.

[0159] Through the above steps 907 - step 912, the connection relationship based on geographical location attributes is realized, the connection relationship regarding historical and cultural attributes is extracted, and the structure of immovable cultural relics with multiple attribute associations is constructed.

[0160] Figure 10 A schematic diagram showing the multiple - attribute structure of immovable cultural relics within the target geographical area according to an embodiment of the present disclosure; as Figure 10 shown, the outermost large rectangle represents the target geographical area. Each node (square and pentagon) within this rectangle represents an immovable cultural relic within the target geographical area. The square represents the core cultural relic, and the pentagon represents other immovable cultural relics (ordinary cultural relics) in the immovable cultural relic group except the core cultural relic. Each gray polygon within this rectangle is a group of immovable cultural relics with close geographical association, and each dashed - line polygon is a group of immovable cultural relics with close historical and cultural association. Among them, the edges within each gray polygon connect a core cultural relic and an ordinary cultural relic, representing the geographical connection relationship, that is, the geographical connection, between the corresponding two immovable cultural relics; the square within each gray polygon is the core cultural relic in the corresponding immovable cultural relic group; the edges connecting the squares in different gray polygons represent the connection relationship regarding historical and cultural attributes, that is, the historical and cultural connection, between the corresponding two immovable cultural relic groups. The thickness of the edge represents the strength of the association between the corresponding two immovable cultural relics, that is, the weight value of the edge.

[0161] In the embodiments of the present disclosure, the connection relationship regarding historical and cultural attributes between immovable cultural relics is transformed into the historical and cultural connection between the core cultural relics in the immovable cultural relic groups regarding geographical location attributes, so as to obtain the "geography - historical culture" structure of immovable cultural relics within the target geographical area. The multiple - attribute structure of this "geography - historical culture" can provide technical support for the planning of regional cultural heritage protection structures.

[0162] Based on the same inventive concept of the above method embodiments, embodiments of the present disclosure further provide an identification device for an associated immovable cultural relic group and a multi-attribute structure, which can be used to execute the technical solutions described in the above method embodiments.

[0163] Figure 11 The structural diagram of an identification device for an associated immovable cultural relic group and a multi-attribute structure according to an embodiment of the present disclosure is shown, as Figure 11 shown, the device may include: an acquisition module 1101, configured to acquire information of each immovable cultural relic within a target geographical area; the information of the immovable cultural relic includes one or more of: name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information; an extraction module 1102, configured to extract first attribute features of each immovable cultural relic from the information of each immovable cultural relic, and generate structured data about the first attribute; the first attribute includes any one of geographical location, age, type, ownership, and historical culture; a connection relationship construction module 1103, configured to construct a first connection relationship network based on the structured data about the first attribute; wherein, in the first connection relationship network, each immovable cultural relic is used as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the association between the two nodes with respect to the first attribute; an identification module 1104, configured to identify at least one immovable cultural relic group in the first connection relationship network; a multi-attribute structure construction module 1105, configured to determine core cultural relics in the at least one immovable cultural relic group, and generate a structure of the immovable cultural relics within the target geographical area with respect to multiple attributes based on the core cultural relics in the at least one immovable cultural relic group.

[0164] In an embodiment of the present disclosure, information on each immovable cultural relic within the target geographical area is obtained; the information on the immovable cultural relic includes one or more of: name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information; the first attribute features of each immovable cultural relic are extracted from the information on each immovable cultural relic to generate structured data regarding the first attribute; the first attribute includes any one of geographical location, age, type, ownership, and historical culture; based on the structured data regarding the first attribute, a first connection relationship network is constructed; wherein, in the first connection relationship network, each immovable cultural relic serves as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the association between the two nodes regarding the first attribute; at least one immovable cultural relic group is identified in the first connection relationship network. In this way, by extracting key attributes, the immovable cultural relics are characterized from multiple dimensions, and structured data regarding the first attribute of the immovable cultural relics is generated, thereby ensuring the accuracy and comprehensiveness of the constructed first connection relationship network; furthermore, the quantitative, efficient, accurate, and automatic identification of associated immovable cultural relic groups can be realized for the association between immovable cultural relics under the same key attribute, and the immovable cultural relic groups generated regarding multiple attributes are fused based on the core cultural relics to obtain a structure regarding multiple attributes; thus, the hidden structure of immovable cultural relics within the target geographical area in terms of geographical space, cultural history, etc. is revealed.

[0165] In a possible implementation manner, the connection construction module 1103 is further configured to: determine the connection relationship between each immovable cultural relic within the target geographical area regarding the first attribute based on the structured data regarding the first attribute; calculate the weight value corresponding to the connection relationship between each immovable cultural relic regarding the first attribute based on the first attribute features of each immovable cultural relic; construct the first connection relationship network with each immovable cultural relic as a node and the weight value corresponding to the connection relationship between each immovable cultural relic regarding the first attribute as the weight value of the edge.

[0166] In a possible implementation, the multi-attribute structure construction module 1105 is further configured to: extract second attribute features of each immovable cultural relic from the information of each immovable cultural relic, and generate structured data regarding the second attribute; based on the structured data regarding the second attribute, construct a second connection relationship network; wherein, in the second connection relationship network, each immovable cultural relic serves as a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the relevance of the two nodes regarding the second attribute; based on the first connection relationship network and / or the second connection relationship network, determine the core cultural relics in the at least one group of immovable cultural relics; based on the core cultural relics in the at least one group of immovable cultural relics, obtain the structure of the immovable cultural relics within the target geographical area regarding multiple attributes; wherein the multiple attributes include the first attribute and the second attribute.

[0167] In a possible implementation, for any group of immovable cultural relics, the multi-attribute structure construction module 1105 is further configured to: calculate the sum of the eigenvector centrality of each immovable cultural relic in the group of immovable cultural relics in the first connection relationship network and the eigenvector centrality in the second connection relationship network, based on the first connection relationship network, the weight values corresponding to the edges in the first connection relationship network, the second connection relationship network, and the weight values corresponding to the edges in the second connection relationship network; determine the immovable cultural relic with the highest sum as the core cultural relic in the group of immovable cultural relics.

[0168] In a possible implementation, each group of immovable cultural relics contains one core cultural relic; the multi-attribute structure construction module 1105 is further configured to: establish the connection relationship between the core cultural relics in the at least one group of immovable cultural relics, based on the connection relationship regarding the second attribute between the immovable cultural relics in the at least one group of immovable cultural relics; use the sum of the weight values corresponding to the immovable cultural relics in the at least one group of immovable cultural relics as the weight value corresponding to the connection relationship between the core cultural relics in the at least one group of immovable cultural relics; generate the structure of the immovable cultural relics within the target geographical area regarding multiple attributes, based on the at least one group of immovable cultural relics, the connection relationship between the core cultural relics in the at least one group of immovable cultural relics, and the weight value corresponding to the connection relationship between the core cultural relics in the at least one group of immovable cultural relics.

[0169] In a possible implementation, the connection construction module 1103 is further configured to: statistically analyze the weight values corresponding to the connection relationships of the immovable cultural relics with respect to the first attribute to determine a critical weight value; filter out the weight values less than the critical weight value among the weight values corresponding to the connection relationships of the immovable cultural relics with respect to the first attribute; and construct the first connection relationship network with the immovable cultural relics as nodes and the weight values corresponding to the connection relationships of the immovable cultural relics with respect to the first attribute after filtering as the edge weight values.

[0170] In a possible implementation, the apparatus further includes: a visualization module, configured to perform visualization processing on the structure of the first connection relationship network, the at least one group of immovable cultural relics, and the multiple attributes.

[0171] In some embodiments, the functions or modules included in the apparatus provided in the embodiments of the present disclosure can be used to execute the methods described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.

[0172] The embodiments of the present disclosure also propose a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the above methods are implemented. The computer-readable storage medium can be a volatile or non-volatile computer-readable storage medium.

[0173] The embodiments of the present disclosure also propose an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to implement the above methods when executing the instructions stored in the memory.

[0174] The embodiments of the present disclosure also provide a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in the processor of the electronic device, the processor in the electronic device executes the above methods.

[0175] Figure 12 FIG. shows a block diagram of an electronic device 1900 according to an embodiment of the present disclosure. For example, the electronic device 1900 can be provided as a server or a terminal device. Referring to Figure 12 , the electronic device 1900 includes a processing component 1922, which further includes one or more processors, and memory resources represented by a memory 1932 for storing instructions executable by the processing component 1922, such as application programs. The application programs stored in the memory 1932 can include one or more modules each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above methods.

[0176] The electronic device 1900 may further include a power supply component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input / output interface 1958 (I / O interface). The electronic device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server TM , Mac OS X TM , Unix TM , Linux TM , FreeBSD TM or the like.

[0177] In an exemplary embodiment, a non-transitory computer-readable storage medium is also provided, such as the memory 1932 including computer program instructions, and the computer program instructions can be executed by the processing component 1922 of the electronic device 1900 to complete the above method.

[0178] The present disclosure may be a system, a method, and / or a computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0179] A computer-readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. A computer-readable storage medium may be, for example, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, a mechanically encoded device, such as a punch card or raised structures in a groove having instructions stored thereon, and any suitable combination of the foregoing. The computer-readable storage medium used herein is not construed as being a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagated through a waveguide or other transmission medium (e.g., an optical pulse through an optical fiber cable), or an electrical signal transmitted through a wire.

[0180] The computer-readable program instructions described herein can be downloaded to various computing / processing devices from a computer-readable storage medium or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0181] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state-setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, Wolfram, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, by using the state information of the computer-readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field-programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer-readable program instructions to implement various aspects of the present disclosure.

[0182] Aspects of the present disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0183] These computer-readable program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus to produce a machine such that the instructions, when executed by the processor of the computer or other programmable data processing apparatus, create an apparatus for implementing the functions / acts specified in one or more boxes of the flowchart and / or block diagram. These computer-readable program instructions may also be stored in a computer-readable storage medium that causes a computer, a programmable data processing apparatus, and / or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises a manufacture including instructions for implementing various aspects of the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0184] The computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process such that the instructions executed on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0185] The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a segment of code, or a portion of an instruction, and the module, segment of code, or portion of an instruction may include one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions noted in the boxes may occur out of the order noted in the figures. For example, two consecutive boxes may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagrams and / or flowcharts, and combinations of boxes in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system for performing the specified functions or acts, or by a combination of dedicated hardware and computer instructions.

[0186] The embodiments of the present disclosure have been described above. The above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the market, or to enable other ordinary skilled persons in the art to understand the embodiments disclosed herein.

Claims

1. A method for identifying a group of related immovable cultural relics and a multi-attribute structure, characterized in that: The method comprises: Acquire information about each immovable cultural relic within the target geographical area; the information about the immovable cultural relic includes: one or more of the following: name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information; Extracting first attribute features of each immovable cultural relic from the information of each immovable cultural relic, and generating structured data about the first attribute; the first attribute includes: any one of geographical location, age, type, ownership, and historical culture; Based on the structured data about the first attribute, a first connection relationship network is constructed; wherein, in the first connection relationship network, each of the immovable cultural relics is a node, and a weight value corresponding to an edge connecting two nodes is determined by the strength of the correlation between the two nodes with respect to the first attribute; identifying at least one group of immovable cultural relics in the first connection relationship network; The core cultural relics in the at least one group of immovable cultural relics are determined, and based on the core cultural relics in the at least one group of immovable cultural relics, a structure of multiple attributes of the immovable cultural relics within the target geographical area is generated.

2. The method according to claim 1, characterized in that The step of constructing a first connection relationship network based on the structured data about the first attribute includes: Determining, based on the structured data about the first attribute, a connection relationship between the immovable cultural relics within the target geographical area about the first attribute; Based on the first attribute characteristics of the immovable cultural relics, calculating the weight value corresponding to the connection relationship between the immovable cultural relics with respect to the first attribute; The first connection relationship network is constructed by using the immovable cultural relics as nodes and the weight values ​​corresponding to the connection relationships between the immovable cultural relics regarding the first attribute as the weight values ​​of the edges.

3. The method according to claim 1, characterized in that The step of determining the core cultural relics in the at least one group of immovable cultural relics, and generating a structure of multiple attributes of the immovable cultural relics within the target geographical area based on the core cultural relics in the at least one group of immovable cultural relics, includes: Extracting a second attribute feature of each immovable cultural relic from the information of each immovable cultural relic, and generating structured data about the second attribute; Based on the structured data about the second attribute, a second connection relationship network is constructed; wherein, in the second connection relationship network, each of the immovable cultural relics is a node, and a weight value corresponding to an edge connecting two nodes is determined by the strength of the correlation between the two nodes with respect to the second attribute; Determine the core cultural relics in the at least one group of immovable cultural relics based on the first connection relationship network and / or the second connection relationship network; Based on the core cultural relics in the at least one group of immovable cultural relics, a structure of multiple attributes of the immovable cultural relics within the target geographical area is obtained; wherein the multiple attributes include the first attribute and the second attribute.

4. The method according to claim 3, characterized in that The determining of the core cultural relics in the at least one group of immovable cultural relics based on the first connection relationship network and / or the second connection relationship network includes: For any group of immovable cultural relics, based on the first connection relationship network, the weight values ​​corresponding to each edge in the first connection relationship network, the second connection relationship network and the weight values ​​corresponding to each edge in the second connection relationship network, the sum of the eigenvector centrality of each immovable cultural relic in the group of immovable cultural relics in the first connection relationship network and the eigenvector centrality in the second connection relationship network is calculated; and the immovable cultural relic with the highest sum is determined as the core cultural relic in the group of immovable cultural relics.

5. The method according to claim 3, characterized in that: Each group of immovable cultural relics contains a core cultural relic; The step of obtaining a structure of multiple attributes of the immovable cultural relics within the target geographical area based on the core cultural relics in the at least one group of immovable cultural relics includes: Establishing a connection relationship between core cultural relics in the at least one group of immovable cultural relics based on the connection relationship between the immovable cultural relics in the at least one group of immovable cultural relics with respect to the second attribute; The sum of the weight values ​​corresponding to the respective immovable cultural relics in the at least one immovable cultural relic group is used as the weight value corresponding to the connection relationship between the core cultural relics in the at least one immovable cultural relic group; Based on the at least one immovable cultural relic group, the connection relationship between the core cultural relics in the at least one immovable cultural relic group, and the weight value corresponding to the connection relationship between the core cultural relics in the at least one immovable cultural relic group, a structure of multiple attributes of the immovable cultural relics within the target geographical area is generated.

6. The method according to claim 2, characterized in that After calculating the weight value corresponding to the connection relationship between the immovable cultural relics with respect to the first attribute, the method further includes: Performing statistical analysis on weight values ​​corresponding to the connection relationships between the immovable cultural relics with respect to the first attribute to determine a critical weight value; Among the weight values ​​corresponding to the connection relationships between the immovable cultural relics with respect to the first attribute, filtering out weight values ​​less than the critical weight value; The step of constructing the first connection relationship network by using the immovable cultural relics as nodes and the weight values ​​corresponding to the connection relationships between the immovable cultural relics regarding the first attribute as the weight values ​​of the edges includes: The first connection relationship network is constructed by using the immovable cultural relics as nodes and using the weight values ​​corresponding to the connection relationships between the filtered immovable cultural relics regarding the first attribute as the weight values ​​of the edges.

7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: Visualization processing is performed on the first connection relationship network, the at least one immovable cultural relics group, and the structure of the multiple attributes.

8. A device for identifying a group of related immovable cultural relics and a multi-attribute structure, characterized in that: The device comprises: An acquisition module is used to acquire information about each immovable cultural relic within a target geographical area; the information about the immovable cultural relic includes: one or more of name, geographical location, age, type, ownership, historical and cultural information, natural environment information, and social environment information; An extraction module, used to extract the first attribute feature of each immovable cultural relic from the information of each immovable cultural relic, and generate structured data about the first attribute; the first attribute includes: any one of geographical location, age, type, ownership, and historical culture; A connection relationship construction module, used to construct a first connection relationship network based on the structured data about the first attribute; wherein, in the first connection relationship network, each of the immovable cultural relics is a node, and the weight value corresponding to the edge connecting two nodes is determined by the strength of the correlation between the two nodes with respect to the first attribute; An identification module, used to identify at least one group of immovable cultural relics in the first connection relationship network; The multi-attribute structure building module is used to determine the core cultural relics in the at least one immovable cultural relics group, and generate a structure of multiple attributes of the immovable cultural relics within the target geographical area based on the core cultural relics in the at least one immovable cultural relics group.

9. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to implement the method described in any one of claims 1 to 7 when executing the instructions stored in the memory.

10. A non-volatile computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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