A Method and System for Constructing Bronze Cultural Relic Data Based on Knowledge Graph

Abstract

The present invention discloses a method and system for constructing bronze cultural relic data based on a knowledge graph, comprising the following steps: step 1, constructing a metadata database, the metadata database comprising first data, second data and third data, the first data being standard cultural relic data, the second data being network crawled data, and the third data being event data; step 2, constructing a metadata model, using the third data to respectively filter the first data and the second data, combining the third data and the filtered first data and the filtered second data into a metadata model, and setting the common words between the first data, the second data and the third data as keywords; step 3, importing all metadata models generated in step 2 into knowledge graph application software to generate a first graph database; step 4, establishing an event function and analyzing the event function to obtain keywords, transferring the keywords into the first graph database, and filtering to obtain a second graph database.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and in particular to a method and system for constructing bronze cultural relic data based on a knowledge graph. Background Art

[0002] Bronze artifacts are a crucial cultural heritage for studying world history. Countries around the world are establishing museums and research institutes to showcase, preserve, and study these artifacts. Traditional brick-and-mortar museums convey information through displays and accompanying data. With the development of internet technology, online museums are leveraging data and multimedia to present physical artifacts through various displays.

[0003] At present, the data information of bronze cultural relics in online museums in the existing technology is mostly stored in standard databases. The data structure is also object-centric, and the data construction method relies on the cultural relic data standard. The data obtained by this construction method is presented in a tree structure. The advantage is that it is easy to store, but the connectivity between data is low and the interactivity with people is insufficient. When conducting system analysis and research, the data query steps using this data construction method are cumbersome, and the related information between data cannot be effectively stored.

[0004] In addition, some research institutes and museums use knowledge graph technology to store information about bronze artifacts in the form of graph data. Developed on the basis of semantic networks, knowledge graph technology is a form of knowledge base representation and a key tool for implementing artificial intelligence. However, the construction of these graph data still relies on a tree-like data structure. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for constructing bronze cultural relic data based on knowledge graph to solve the problems existing in the above-mentioned prior art.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions:

[0007] A method for constructing bronze artifact data based on a knowledge graph, the method comprising the following steps:

[0008] Step 1: construct a metadata database, wherein the metadata database includes first data, second data, and third data, wherein the first data is standard cultural relic data, the second data is web crawled data, and the third data is event data;

[0009] Step 2: Constructing a metadata model, using the third data to filter the first data and the second data respectively, combining the third data with the filtered first data and the second data to form a metadata model, and setting the common words between the first data, the second data, and the third data as keywords;

[0010] Step 3: Import all metadata models generated in step 2 into the knowledge graph application software to generate a first graph database;

[0011] Step 4: Establish an event function and analyze the event function to obtain keywords, transfer the keywords into the first graph database, and filter to obtain the second graph database.

[0012] In a further embodiment, in step one, the first data is converted from standardized structure data, the first data is graph data, the first data includes node data and edge data, the node data includes a first ontology and a second ontology, the first ontology is a bronze ware class, the first ontology includes multiple first entities, each of the first entities is a bronze ware cultural relic name, the second ontology is an activity class, the second ontology includes multiple second entities, each of the second entities is a cultural relic activity name, and the edge data includes attributes and relationships.

[0013] In a further embodiment, in step one, the second data is obtained on a web page through crawler software, and the method for obtaining the second data is: the crawler software searches for web pages containing bronze artifacts, records and parses the web page content, and the parsed content includes the name of the bronze artifact and the time, place, activity name and activity information data.

[0014] In a further embodiment, in step 1, the third data includes personnel activity name, category and personnel information, and the third data is input data, and the input method includes manual input and software input.

[0015] In a further embodiment, in step 2, the keywords include at least one of the name of the bronze artifact, time, place, activity name and personnel information.

[0016] In a further embodiment, in step four, the new data generated in the event function will update the metadata database, and the new data generated in the event function will be incorporated into the event data in step one.

[0017] A bronze artifact data construction system based on a knowledge graph, the system comprising a metadata module and a knowledge graph module, the metadata module comprising a data conversion component and a data search component, the data conversion component being used to import files of different types and convert them into graph data, the data search component being used for online search, the data search component comprising crawler software; the knowledge graph module being used to convert graph data into a knowledge graph; the system further comprising interactive software and a self-learning component, the interactive software being used to input event data, the self-learning component being used for iterative data updates.

[0018] A bronze artifact data construction device based on a knowledge graph, the device is used to run a bronze artifact data construction system based on a knowledge graph, the device includes one or more processors and one or more storage media, the storage medium is used to store instructions, and the instructions are used to execute a bronze artifact data construction method based on a knowledge graph.

[0019] A storage medium stores instructions which, when executed by one or more processors, enable a device to execute a method for constructing bronze artifact data based on a knowledge graph.

[0020] The present invention has the following beneficial effects:

[0021] 1. The present invention discloses a method for constructing bronze cultural relic data based on a knowledge graph, which utilizes knowledge graph technology to combine standard cultural relic data, network crawled data, and event data of personnel activities to construct a data structure with high relevance and interactivity. This method can avoid missing important data related to cultural relics, and can also enable personnel to customize and call data, thereby improving the flexibility of data application. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of a method for constructing bronze cultural relic data based on knowledge graph in the present invention. DETAILED DESCRIPTION

[0023] The present invention will be further described in detail below with reference to the accompanying drawings.

[0024] It should be noted that the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, features specified as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of this specification, "plurality" means two or more.

[0025] Example 1:

[0026] like Figure 1 As shown, this embodiment discloses a method for constructing bronze artifact data based on a knowledge graph, comprising the following steps:

[0027] Step 1: Build a metadata database, which includes first data, second data, and third data. The first data is standard cultural relic data, the second data is web crawled data, and the third data is event data.

[0028] Step 2: Construct a metadata model by using the third data to filter the first data and the second data respectively. The third data and the filtered first data and the second data are combined to form a metadata model. The common words between the first data, the second data and the third data are set as keywords.

[0029] Step 3: Import all metadata models generated in step 2 into the knowledge graph application software to generate a first graph database;

[0030] Step 4: Establish an event function and analyze the event function to obtain keywords, transfer the keywords into the first graph database, and filter to obtain the second graph database.

[0031] This embodiment aims to establish a non-tree data structure, so this embodiment integrates three types of data: standard cultural relic data, network crawled data, and event data. These three types of data are explained below.

[0032] In this embodiment, in step 1, the first data is converted from standardized structured data. The standardized structured data refers to the cultural relics metadata of the national industry standard. The converted first data is graph data. Graph data is composed of nodes and edges. The basic attributes of graph data include ontologies, entities, attributes, and relationships. Entities and ontologies are nodes. Entities are collections of ontologies. Attributes and relationships are edges. Attributes must rely on nodes. Relationships are the relationship between two ontologies.

[0033] In this embodiment, the first data includes node data and edge data. The node data includes a first ontology and a second ontology. The first ontology is a bronze ware class. The first ontology includes multiple first entities. Each first entity is the name of a bronze ware cultural relic. The names of bronze cultural relics include tripod, axe, spear, and jar. The second ontology is an activity class. The second ontology includes multiple second entities. Each second entity is the name of a cultural relic activity. The names of cultural relic activities include moving, repairing, exhibition, and production. The edge data includes attributes and relationships. The attributes rely on the ontology, such as the time span and geographical movement of bronze cultural relics. The relationship is the relationship between the two ontologies. The two ontologies are independent individuals.

[0034] In this embodiment, in step 1, the second data is obtained from a webpage using crawler software. The method for obtaining the second data is as follows: the crawler software searches for webpages containing bronze artifacts, records and parses the webpage content, and the parsed content includes the name of the bronze artifact, as well as the time, location, event name, and event information data. The activity here refers to the activities of the main body of the artifact, such as the excavation, repair, and movement of the artifact.

[0035] In this embodiment, in step 1, the third data includes the name, category and personnel information of the personnel activity. The third data is input data, and the input method includes manual input and software input.

[0036] Because the first, second, and third data are acquired in different ways, data overlap and redundancy are inevitable. Therefore, filtering and screening operations are required between the first, second, and third data. After removing duplicate data, an association is established between the first, second, and third data, which is the operation of step 2. In step 2, the keywords screened include at least one of the name of the bronze artifact, time, location, event name, and personnel information. These are commonly used keywords. The establishment of keywords is based on personnel settings and can be flexibly changed.

[0037] Example 2:

[0038] like Figure 1 As shown, this embodiment discloses a method for constructing bronze artifact data based on a knowledge graph, comprising the following steps:

[0039] Step 1: Build a metadata database, which includes first data, second data, and third data. The first data is standard cultural relic data, the second data is web crawled data, and the third data is event data.

[0040] Step 2: Construct a metadata model by using the third data to filter the first data and the second data respectively. The third data and the filtered first data and the second data are combined to form a metadata model. The common words between the first data, the second data and the third data are set as keywords.

[0041] Step 3: Import all metadata models generated in step 2 into the knowledge graph application software to generate a first graph database;

[0042] Step 4: Establish an event function and analyze the event function to obtain keywords, transfer the keywords into the first graph database, and filter to obtain the second graph database.

[0043] The method of this embodiment integrates data construction, data update and data call, and the key step to achieve this effect is step four.

[0044] In this embodiment, in step 4, the new data generated in the event function will update the metadata database, and the new data generated in the event function will be incorporated into the event data in step 1. It should be noted that the event function here relies on the bronze cultural relics related activities with specific significance implemented by the terminal, and the generated second graph database is used to realize the event function. Taking the museum's social teaching activities as an example, the corresponding event function will involve data such as display content (specific bronzes), display methods (online, offline, pictures and music, etc.), visitors (ordinary people, scholars, collectors, etc.) and organizational structures. When the event function is to establish a schedule, data such as personnel, location and time information can be called.

[0045] After the event function technology is implemented, the data needs to be updated. The bronze artifacts are existing data, while visitors and organizations will have new data. These data need to be uploaded by personnel. The new data will be incorporated into the event data in step one, and the data will be updated and constructed.

[0046] Example 3:

[0047] This embodiment provides a bronze artifact data construction system based on a knowledge graph, the system including a metadata module and a knowledge graph module, the metadata module including a data conversion component and a data search component, the data conversion component is used to import different types of files and convert them into graph data, the data search component is used for online search, the data search component includes crawler software; the knowledge graph module is used to convert graph data into a knowledge graph; the system also includes interactive software and self-learning components, the interactive software is used to realize the entry of event data, and the self-learning component is used for iterative data update.

[0048] This embodiment also provides a bronze artifact data construction device based on a knowledge graph, which is used to run a bronze artifact data construction system based on a knowledge graph. The device includes one or more processors and one or more storage media, and the storage medium is used to store instructions, and the instructions are used to execute a bronze artifact data construction method based on a knowledge graph.

[0049] This embodiment also provides a storage medium having instructions stored thereon, which, when executed by one or more processors, enables the device to execute a method for constructing bronze artifact data based on a knowledge graph.

[0050] This specific embodiment is merely an explanation of the present invention and is not intended to limit the present invention. After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed. However, as long as such modifications are within the scope of the claims of the present invention, they are protected by patent law.

Claims

1. A method for constructing bronze artifact data based on knowledge graph, characterized in that: The method comprises the following steps: Step 1: construct a metadata database, wherein the metadata database includes first data, second data, and third data, wherein the first data is standard cultural relic data, the second data is web crawled data, and the third data is event data; Step 2: Constructing a metadata model, using the third data to filter the first data and the second data respectively, combining the third data with the filtered first data and the second data to form a metadata model, and setting the common words between the first data, the second data, and the third data as keywords; Step 3: Import all metadata models generated in step 2 into the knowledge graph application software to generate a first graph database; Step 4: Establish an event function and analyze the event function to obtain keywords, transfer the keywords into the first graph database, and filter to obtain the second graph database.

2. The method for constructing bronze cultural relic data based on a knowledge graph according to claim 1, characterized in that: In step one, the first data is converted from standardized structure data, the first data is graph data, the first data includes node data and edge data, the node data includes a first ontology and a second ontology, the first ontology is a bronze ware class, the first ontology includes multiple first entities, each of the first entities is the name of a bronze ware cultural relic, the second ontology is an activity class, the second ontology includes multiple second entities, each of the second entities is the name of a cultural relic activity, and the edge data includes attributes and relationships.

3. The method for constructing bronze cultural relic data based on a knowledge graph according to claim 1, characterized in that: In step one, the second data is obtained on the web page through crawler software. The method for obtaining the second data is: the crawler software searches for web pages containing bronze artifacts, records and parses the web page content, and the parsed content includes the name of the bronze artifact and the time, place, activity name and activity information data.

4. The method for constructing bronze cultural relic data based on a knowledge graph according to claim 1, wherein: In step 1, the third data includes the name, category and personnel information of the personnel activity. The third data is input data, and the input method includes manual input and software input.

5. The method for constructing bronze cultural relic data based on a knowledge graph according to claim 1, wherein: In step 2, the keywords include at least one of the name of the bronze artifact, time, place, activity name and personnel information.

6. The method for constructing bronze cultural relic data based on a knowledge graph according to claim 1, characterized in that: In step 4, the new data generated in the event function will update the metadata database, and the new data generated in the event function will be incorporated into the event data in step 1.

7. A bronze artifact data construction system based on knowledge graph, characterized by: The system includes a metadata module and a knowledge graph module. The metadata module includes a data conversion component and a data search component. The data conversion component is used to import different types of files and convert them into graph data. The data search component is used for online search and includes crawler software. The knowledge graph module is used to convert graph data into a knowledge graph. The system also includes interactive software and self-learning components. The interactive software is used to realize the entry of event data, and the event data includes the name, category and personnel information of personnel activities associated with bronze cultural relics. The self-learning component is used to dynamically update the metadata database according to the new data generated in the event function, and generate keywords based on the event function analysis. The keywords are associated with the name, time and location of the bronze cultural relics and then screened to generate a second graph database, wherein the event function includes cultural relic movement, repair or exhibition activities.

8. A bronze artifact data construction device based on knowledge graph, characterized by: The device is used to run the system according to claim 7, and the device includes one or more processors and one or more storage media, wherein the storage medium is used to store instructions, and the instructions are used to execute the method according to any one of claims 1-6.

9. A storage medium, characterized in that: Instructions are stored thereon, which, when executed by one or more processors, cause the device to perform the method according to any one of claims 1 to 6.

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