A method and device for retrieving knowledge of scientific cultivation and maintenance of flowers

Abstract

The present invention relates to the field of data retrieval technology, and in particular to a method and device for retrieving knowledge of scientific cultivation and maintenance of flowers. The method comprises: receiving retrieval information related to scientific cultivation and maintenance of flowers input by a user; obtaining retrieval results through a pre-constructed multi-level associated scientific cultivation and maintenance knowledge graph information database; and integrating cross-media technology to complete the display of a cascade dynamic graph of flower retrieval. By adopting the present invention, a dynamic knowledge graph in the field of scientific cultivation of flowers can be constructed, and the retrieval of scientific cultivation and maintenance of flowers can be completed efficiently, quickly and accurately, and the cascade dynamic graph of flower retrieval can be displayed.

Description

Technical Field

[0001] The present invention relates to the technical field of data retrieval, and in particular to a retrieval method and device for flower scientific cultivation and maintenance knowledge. Background Art

[0002] In the process of growing flowers, users often have the need to search online and learn about the knowledge of scientific flower cultivation and maintenance. However, a large amount of scientific flower cultivation and maintenance knowledge on the Internet is complicated and users cannot retrieve the content they want very well. Summary of the invention

[0003] The present invention provides a method and device for searching knowledge on scientific cultivation and maintenance of flowers, which is used to efficiently, quickly and accurately complete the user's search for knowledge on scientific cultivation and maintenance of flowers. The technical solution is as follows:

[0004] On the one hand, a method for retrieving knowledge of scientific cultivation and maintenance of flowers is provided, the method comprising:

[0005] Receiving search information related to scientific flower cultivation and maintenance knowledge input by users;

[0006] The search results are obtained by searching the pre-built multi-level associated flower science cultivation and maintenance knowledge graph information database;

[0007] Integrate cross-media technology to complete the display of flower retrieval cascade dynamic map.

[0008] Optionally, the pre-construction of the flower scientific cultivation and maintenance knowledge graph information database specifically includes:

[0009] The knowledge system of scientific flower cultivation and maintenance is divided into the basic information system of flowers and the experience system of scientific flower cultivation;

[0010] Constructing a conceptual model of the basic information system of flowers and the experience system of scientific flower cultivation;

[0011] The flower scientific cultivation and maintenance knowledge graph information database is constructed according to the graph conceptual model.

[0012] Optionally, the graph conceptual model for constructing the basic information system of flowers specifically includes:

[0013] Divide the conceptual entity level of flowers according to the types and varieties of flowers;

[0014] Define flower concept entities at different levels, and construct the graph concept model of the basic flower information system by dividing the levels from top to bottom according to the granularity level of the concept entities. The basic flower information system is denoted as T, the top-level concept granularity entity of flowers is denoted as E, and the number of them is denoted as n. They satisfy the following constraints:

[0015]

[0016] In the graph conceptual model of the basic information system of flowers, two adjacent layers, the high-granularity layer entity is recorded as e, the low-granularity layer entity is recorded as sube, and the number of sub-entities under the same high-level entity is recorded as m, which satisfy the following constraints:

[0017]

[0018] Next, define the relationship between different flower concept entities, denoted as R, and express it with triples. The relationship between high-level entities can be inherited by their child entities, and they satisfy the following reasoning relationship:

[0019]

[0020] In the graph conceptual model of the basic information system of flowers, the relationship between entities is reversible, and the inverse relationship is denoted by R -1 As long as there is a relationship between entities, it means that there is a correlation between the two entities. The correlation between the two entities is denoted by R 0 , they satisfy the following inference relationship:

[0021]

[0022] Optionally, the graph conceptual model for constructing the flower scientific cultivation experience system specifically includes:

[0023] Define the concept and attributes of nurturing experience based on the scientific nurturing experience method;

[0024] Scientific cultivation rules are defined based on cultivation experience. The establishment of the scientific cultivation rules includes two aspects: first, cultivation and maintenance methods are used as antecedents, and flower varieties significantly affected by the cultivation and maintenance methods are used as consequences; second, cultivation and maintenance methods and flower varieties are used as antecedents, and flower physiological characteristic information generated by the flower varieties under the specific implementation of the cultivation and maintenance methods is used as consequences. Relevant cultivation and maintenance methods are obtained by reverse reasoning from cultivation goals, and then scientific cultivation plans are obtained by forward reasoning from cultivation and maintenance methods. The cultivation goals are flower appearance characteristic attributes, and the scientific cultivation plans are obtained by flower variety retrieval, thereby realizing the integration of basic information on flower appearance characteristics and experience information;

[0025] The scientific cultivation experience system is denoted as C, the change of the appearance characteristics of a flower corresponds to one or more empirical rules, a certain flower is denoted as e′, and a certain cultivation and maintenance method is denoted as The collection of flower species it affects is denoted as There are many cultivation and maintenance methods. The set of cultivation and maintenance methods is denoted as Φ, a certain empirical cultivation plan is denoted as τ, and the set of empirical cultivation plans is denoted as Λ. The reasoning satisfies the following constraints:

[0026]

[0027] Optionally, the step of constructing the flower scientific cultivation and maintenance knowledge graph information database according to the graph concept model specifically includes:

[0028] Extract flower cultivation information from a large amount of scattered experimental data and various cultivation information databases;

[0029] The flower scientific cultivation and maintenance knowledge graph information database is constructed according to the graph concept model, wherein the structure of the flower scientific cultivation and maintenance knowledge graph information database is consistent with the definition of the entities and attributes of the graph concept model, and the flower scientific cultivation and maintenance knowledge graph information database includes a basic information database and a scientific cultivation experience database, and the scientific cultivation experience database includes a cultivation method library and a cultivation rule library, wherein, in the construction of the basic information database, the phenotypic characteristic information and physiological characteristic information of various types of flowers are stored, and according to the multi-layer definition structure of the entity, the phenotypic characteristic information and physiological characteristic information of various types of flowers are first stored according to the types of flowers, and then in the same The cultivation method library is a two-level associated database, which first stores the usual cultivation and maintenance methods in a data table, and then stores the specific cultivation plans and their significant impact on flower types according to the cultivation and maintenance methods; the cultivation rule library includes two parts, one part takes the cultivation and maintenance methods as the antecedent and the significant impact on flower varieties as the consequent; the other part takes the cultivation and maintenance methods as the antecedent and the specific cultivation plans and their significant impact on the phenotypic and physiological characteristic parameters of flowers as the consequent; the basic information library and the cultivation method library and the cultivation rule library are associated based on flower varieties; finally, a multi-level associated database is established.

[0030] Optionally, the search results obtained by searching the pre-built multi-level associated flower scientific cultivation and maintenance knowledge graph information database specifically include:

[0031] A multi-branch tree retrieval mechanism is used for retrieval. During the retrieval, the flower scientific cultivation and maintenance knowledge graph information database is first located according to the flower species, and then the relevant cultivation and maintenance methods are located according to the cultivation objectives, thereby obtaining a scientific cultivation plan.

[0032] Optionally, the integrated cross-media technology to complete the display of the flower search cascade dynamic map specifically includes:

[0033] By defining the focusNodeAdjacency attribute of the atlas node and the itemStyle attribute of different information nodes, the text is combined with animation or color change. When displaying the scientific cultivation and maintenance knowledge of flowers in the atlas, the light and dark dynamic display of the atlas nodes and the different color display of different nodes are realized, which enhances the focus of the retrieval knowledge.

[0034] By configuring the tooltip attribute, a two-level linkage display of basic flower information and scientific cultivation information is achieved in the form of node + dynamic text box, which concisely and comprehensively displays the search knowledge.

[0035] On the other hand, a device for searching knowledge of scientific cultivation and maintenance of flowers is provided, the device comprising:

[0036] A receiving module, used to receive search information related to flower scientific cultivation and maintenance knowledge input by a user;

[0037] A search module, used to obtain search results by searching a pre-built multi-level associated flower science cultivation and maintenance knowledge graph information database;

[0038] The display module is used to integrate cross-media technology to display the cascade dynamic graph of flower retrieval.

[0039] Optionally, the device further includes a construction module, and the construction module specifically includes:

[0040] The sub-module is used to divide the knowledge system of flower scientific cultivation and maintenance into a flower basic information system and a flower scientific cultivation experience system;

[0041] The first construction submodule is used to construct a conceptual model of the flower basic information system and the flower scientific cultivation experience system;

[0042] The second construction submodule is used to construct the flower scientific cultivation and maintenance knowledge graph information database according to the graph concept model.

[0043] Optionally, the first building submodule is specifically used to:

[0044] The graph conceptual model for constructing the basic information system of flowers specifically includes:

[0045] Divide the conceptual entity level of flowers according to the types and varieties of flowers;

[0046] Define flower concept entities at different levels, and construct the graph concept model of the basic flower information system by dividing the levels from top to bottom according to the granularity level of the concept entities. The basic flower information system is denoted as T, the top-level concept granularity entity of flowers is denoted as E, and the number of them is denoted as n. They satisfy the following constraints:

[0047]

[0048] In the graph conceptual model of the basic information system of flowers, two adjacent layers, the high-granularity layer entity is recorded as e, the low-granularity layer entity is recorded as sube, and the number of sub-entities under the same high-level entity is recorded as m, which satisfy the following constraints:

[0049]

[0050] Next, define the relationship between different flower concept entities, denoted as R, and express it with triples. The relationship between high-level entities can be inherited by their child entities, and they satisfy the following reasoning relationship:

[0051]

[0052] In the graph conceptual model of the basic information system of flowers, the relationship between entities is reversible, and the inverse relationship is denoted by R -1 As long as there is a relationship between entities, it means that there is a correlation between the two entities. The correlation between the two entities is denoted by R 0 , they satisfy the following inference relationship:

[0053]

[0054] Optionally, the first building submodule is further used to:

[0055] Define the concept and attributes of nurturing experience based on the scientific nurturing experience method;

[0056] Scientific cultivation rules are defined based on cultivation experience. The establishment of the scientific cultivation rules includes two aspects: first, cultivation and maintenance methods are used as antecedents, and flower varieties significantly affected by the cultivation and maintenance methods are used as consequences; second, cultivation and maintenance methods and flower varieties are used as antecedents, and flower physiological characteristic information generated by the flower varieties under the specific implementation of the cultivation and maintenance methods is used as consequences. Relevant cultivation and maintenance methods are obtained by reverse reasoning from cultivation goals, and then scientific cultivation plans are obtained by forward reasoning from cultivation and maintenance methods. The cultivation goals are flower appearance characteristic attributes, and the scientific cultivation plans are obtained by flower variety retrieval, thereby realizing the integration of basic information on flower appearance characteristics and experience information;

[0057] The scientific cultivation experience system is denoted as C, the change of the appearance characteristics of a flower corresponds to one or more empirical rules, a certain flower is denoted as e′, and a certain cultivation and maintenance method is denoted as The collection of flower species it affects is denoted as There are many cultivation and maintenance methods. The set of cultivation and maintenance methods is denoted as Φ, a certain empirical cultivation plan is denoted as τ, and the set of empirical cultivation plans is denoted as Λ. The reasoning satisfies the following constraints:

[0058]

[0059] Optionally, the second construction submodule is specifically used to:

[0060] Extract flower cultivation information from a large amount of scattered experimental data and various cultivation information databases;

[0061] The flower scientific cultivation and maintenance knowledge graph information database is constructed according to the graph concept model, wherein the structure of the flower scientific cultivation and maintenance knowledge graph information database is consistent with the definition of the entities and attributes of the graph concept model, and the flower scientific cultivation and maintenance knowledge graph information database includes a basic information database and a scientific cultivation experience database, and the scientific cultivation experience database includes a cultivation method library and a cultivation rule library, wherein, in the construction of the basic information database, the phenotypic characteristic information and physiological characteristic information of various types of flowers are stored, and according to the multi-layer definition structure of the entity, the phenotypic characteristic information and physiological characteristic information of various types of flowers are first stored according to the types of flowers, and then in the same The cultivation method library is a two-level associated database, which first stores the usual cultivation and maintenance methods in a data table, and then stores the specific cultivation plans and their significant impact on flower types according to the cultivation and maintenance methods; the cultivation rule library includes two parts, one part takes the cultivation and maintenance methods as the antecedent and the significant impact on flower varieties as the consequent; the other part takes the cultivation and maintenance methods as the antecedent and the specific cultivation plans and their significant impact on the phenotypic and physiological characteristic parameters of flowers as the consequent; the basic information library and the cultivation method library and the cultivation rule library are associated based on flower varieties; finally, a multi-level associated database is established.

[0062] Optionally, the retrieval module is specifically used to:

[0063] A multi-branch tree retrieval mechanism is used for retrieval. During the retrieval, the flower scientific cultivation and maintenance knowledge graph information database is first located according to the flower species, and then the relevant cultivation and maintenance methods are located according to the cultivation objectives, thereby obtaining a scientific cultivation plan.

[0064] Optionally, the display module is specifically used for:

[0065] By defining the focusNodeAdjacency attribute of the atlas node and the itemStyle attribute of different information nodes, the text is combined with animation or color change. When displaying the scientific cultivation and maintenance knowledge of flowers in the atlas, the light and dark dynamic display of the atlas nodes and the different color display of different nodes are realized, which enhances the focus of the retrieval knowledge.

[0066] By configuring the tooltip attribute, a two-level linkage display of basic flower information and scientific cultivation information is achieved in the form of node + dynamic text box, which concisely and comprehensively displays the search knowledge.

[0067] On the other hand, an electronic device is provided, comprising a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the above-mentioned method for retrieving knowledge on scientific cultivation and maintenance of flowers.

[0068] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the above-mentioned retrieval method for learning scientific flower cultivation and maintenance knowledge.

[0069] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0070] It can construct a dynamic domain knowledge graph, efficiently, quickly and accurately complete the retrieval of scientific flower cultivation and maintenance knowledge, and display the flower retrieval cascade dynamic graph. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0072] Figure 1 This is a flow chart of a retrieval method for flower scientific cultivation and maintenance knowledge provided by an embodiment of the present invention;

[0073] Figure 2 It is a schematic diagram of the reasoning conceptual model of the scientific flower cultivation rules provided by the embodiment of the present invention;

[0074] Figure 3 1. The structure of the flower scientific cultivation and maintenance knowledge graph information database and its associated schematic diagram according to an embodiment of the present invention;

[0075] Figure 4 It is a schematic diagram of obtaining search results by searching a pre-built multi-level associated flower scientific cultivation and maintenance knowledge graph information database in an embodiment of the present invention;

[0076] Figure 5 It is a display schematic diagram of completing the cascade dynamic graph of flower retrieval by integrating cross-media technology in an embodiment of the present invention;

[0077] Figure 6This is a block diagram of a device for searching knowledge of scientific cultivation and maintenance of flowers provided by an embodiment of the present invention;

[0078] Figure 7 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0079] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0080] like Figure 1 As shown, an embodiment of the present invention provides a method for retrieving knowledge of scientific cultivation and maintenance of flowers, the method comprising:

[0081] S1. receiving search information related to scientific flower cultivation and maintenance knowledge input by a user;

[0082] S2, obtaining search results by searching a pre-built multi-level associated flower science cultivation and maintenance knowledge graph information database;

[0083] S3. Integrate cross-media technology to complete the display of flower retrieval cascade dynamic map.

[0084] Optionally, the pre-construction of the flower scientific cultivation and maintenance knowledge graph information database specifically includes:

[0085] The knowledge system of scientific flower cultivation and maintenance is divided into the basic information system of flowers and the experience system of scientific flower cultivation;

[0086] Constructing a conceptual model of the basic information system of flowers and the experience system of scientific flower cultivation;

[0087] The flower scientific cultivation and maintenance knowledge graph information database is constructed according to the graph conceptual model.

[0088] Optionally, the graph conceptual model for constructing the basic information system of flowers specifically includes:

[0089] Divide the conceptual entity level of flowers according to the types and varieties of flowers;

[0090] Define flower concept entities at different levels, and construct a graph concept model of the flower basic information system by dividing the levels from top to bottom according to the granularity level of the concept entities. The flower basic information system is denoted as T, the flower top-level concept granularity entity is denoted as E, and the number of them is denoted as n. They satisfy the following constraints:

[0091]

[0092] In the graph conceptual model of the basic information system of flowers, two adjacent layers, the high-granularity layer entity is recorded as e, the low-granularity layer entity is recorded as sube, and the number of sub-entities under the same high-level entity is recorded as m, which satisfy the following constraints:

[0093]

[0094] Next, define the relationship between different flower concept entities, denoted as R, and express it with triples. The relationship between high-level entities can be inherited by their child entities, and they satisfy the following reasoning relationship:

[0095]

[0096] In the graph conceptual model of the basic information system of flowers, the relationship between entities is reversible, and the inverse relationship is denoted by R -1 As long as there is a relationship between entities, it means that there is a correlation between the two entities. The correlation between the two entities is denoted by R 0 , they satisfy the following inference relationship:

[0097]

[0098] Optionally, the graph conceptual model for constructing the flower scientific cultivation experience system specifically includes:

[0099] Define the concept and attributes of nurturing experience based on the scientific nurturing experience method;

[0100] Scientific cultivation rules are defined based on cultivation experience. The establishment of the scientific cultivation rules includes two aspects: first, cultivation and maintenance methods are used as antecedents, and flower varieties significantly affected by the cultivation and maintenance methods are used as consequences; second, cultivation and maintenance methods and flower varieties are used as antecedents, and flower physiological characteristic information generated by the flower varieties under the specific implementation of the cultivation and maintenance methods is used as consequences. Relevant cultivation and maintenance methods are obtained by reverse reasoning from cultivation goals, and then scientific cultivation plans are obtained by forward reasoning from cultivation and maintenance methods. The cultivation goals are flower appearance characteristic attributes, and the scientific cultivation plans are obtained by flower variety retrieval, thereby realizing the integration of basic information on flower appearance characteristics and experience information;

[0101] The scientific cultivation experience system is denoted as C, the change of the appearance characteristics of a flower corresponds to one or more empirical rules, a certain flower is denoted as e′, and a certain cultivation and maintenance method is denoted as The collection of flower species it affects is denoted as There are many cultivation and maintenance methods. The set of cultivation and maintenance methods is denoted as Φ, a certain empirical cultivation plan is denoted as τ, and the set of empirical cultivation plans is denoted as Λ. The reasoning satisfies the following constraints:

[0102]

[0103] Optionally, the step of constructing the flower scientific cultivation and maintenance knowledge graph information database according to the graph concept model specifically includes:

[0104] Extract flower cultivation information from a large amount of scattered experimental data and various cultivation information databases;

[0105] The flower scientific cultivation and maintenance knowledge graph information database is constructed according to the graph concept model, wherein the structure of the flower scientific cultivation and maintenance knowledge graph information database is consistent with the definition of the entities and attributes of the graph concept model, and the flower scientific cultivation and maintenance knowledge graph information database includes a basic information database and a scientific cultivation experience database, and the scientific cultivation experience database includes a cultivation method library and a cultivation rule library, wherein, in the construction of the basic information database, the phenotypic characteristic information and physiological characteristic information of various types of flowers are stored, and according to the multi-layer definition structure of the entity, the phenotypic characteristic information and physiological characteristic information of various types of flowers are first stored according to the types of flowers, and then in the same The cultivation method library is a two-level associated database, which first stores the usual cultivation and maintenance methods in a data table, and then stores the specific cultivation plans and their significant impact on flower types according to the cultivation and maintenance methods; the cultivation rule library includes two parts, one part takes the cultivation and maintenance methods as the antecedent and the significant impact on flower varieties as the consequent; the other part takes the cultivation and maintenance methods as the antecedent and the specific cultivation plans and their significant impact on the phenotypic and physiological characteristic parameters of flowers as the consequent; the basic information library and the cultivation method library and the cultivation rule library are associated based on flower varieties; finally, a multi-level associated database is established.

[0106] Optionally, the search results obtained by searching the pre-built multi-level associated flower scientific cultivation and maintenance knowledge graph information database specifically include:

[0107] A multi-branch tree retrieval mechanism is used for retrieval. During the retrieval, the flower scientific cultivation and maintenance knowledge graph information database is first located according to the flower species, and then the relevant cultivation and maintenance methods are located according to the cultivation objectives, thereby obtaining a scientific cultivation plan.

[0108] Optionally, the integrated cross-media technology to complete the display of the flower search cascade dynamic map specifically includes:

[0109] By defining the focusNodeAdjacency attribute of the atlas node and the itemStyle attribute of different information nodes, the text is combined with animation or color change. When displaying the scientific cultivation and maintenance knowledge of flowers in the atlas, the light and dark dynamic display of the atlas nodes and the different color display of different nodes are realized, which enhances the focus of the retrieval knowledge.

[0110] By configuring the tooltip attribute, a two-level linkage display of basic flower information and scientific cultivation information is achieved in the form of node + dynamic text box, which concisely and comprehensively displays the search knowledge.

[0111] The following takes the study of flower phenotypic regulation as an example to illustrate the method for retrieving knowledge on scientific cultivation and maintenance of flowers in an embodiment of the present invention.

[0112] The general research involves nine phenotypic parameters and nine physiological parameters of flowers, and these physiological parameters are mainly photosynthetic parameters. Common scientific cultivation and maintenance methods can be roughly divided into four categories: light control, shading, spraying of pesticides, and water control. Therefore, in order to clearly express the characteristics of many parameters and scientific regulation information of flowers, the above method is used to first construct the graph concept model of the basic information system of flowers and the scientific cultivation experience system of flowers. The definitions of the entities and their attributes of the graph concept model of the basic information system of flowers are shown in Table 1:

[0113] Table 1. Definition of entities and attributes of the conceptual model of the flower basic information system

[0114]

[0115] The definitions of the concept entities and their attributes of the flower cultivation experience methods in the graph conceptual model of the flower scientific cultivation experience system are shown in Table 2:

[0116] Table 2. Definition of conceptual entities and attributes of empirical methods of flower cultivation (taking lily as an example)

[0117]

[0118] The reasoning concept model of flower science cultivation rules in the graph concept model of the flower science cultivation experience system is as follows: Figure 2 shown.

[0119] The flower science cultivation and maintenance knowledge graph information database is constructed according to the graph concept model. The structure of the database is consistent with the definition of the entities and attributes of the graph concept model. The flower science cultivation and maintenance knowledge graph information database includes a basic information library, a cultivation method library, and a cultivation rule library, which are related based on flower varieties. The flower science cultivation and maintenance knowledge graph information database structure and its association are as follows: Figure 3 shown.

[0120] The retrieval results obtained by searching the pre-constructed multi-level associated flower scientific cultivation and maintenance knowledge graph information database specifically include: using a multi-branch tree retrieval mechanism to perform the retrieval, during which the flower scientific cultivation and maintenance knowledge graph information database is first located according to the flower species, and then the relevant cultivation and maintenance methods are located according to the cultivation objectives, thereby obtaining a scientific cultivation plan.

[0121] like Figure 4 As shown, for example, the search information input by the user is: Oriental lily, for example, has a habit of being light-loving and is significantly affected by controlled light and shading measures. Under the light influence or shading influence module, the phenotypic and physiological characteristic changes of various varieties of Oriental lily under different light measures or shading measures can be retrieved. In the Oriental lily secondary menu, select and input the Tiber variety, retrieve the normal growth information of various varieties of Oriental lily from the basic information database, and extract the relevant information of Tiber; in the shading measures, retrieve the phenotypic and physiological characteristic parameters of the Tiber variety under 50% and 75% shading. Finally, through the flower types: "Oriental lily" and "Tiber", the basic cultivation information of the variety and the maintenance information under shading measures are compared and displayed in the form of a map, so that users can know the daily maintenance measures of the variety.

[0122] The integrated cross-media technology to display the cascade dynamic map of flower retrieval specifically includes: by defining the focusNodeAdjacency attribute of the map node and the itemStyle attribute of different information nodes, the text is combined with animation or color change, and when the scientific cultivation and maintenance knowledge of flowers is displayed in the map, the light and dark dynamic display of the map nodes and the different color display of different nodes are realized, so as to enhance the focus of the retrieval knowledge;

[0123] By configuring the tooltip attribute, a two-level linkage display of basic flower information and scientific cultivation information is achieved in the form of node + dynamic text box, which concisely and comprehensively displays the search knowledge.

[0124] like Figure 5 As shown, for example, when searching for the Tiber variety of Oriental lily, its phenotypic characteristic parameters and physiological characteristic parameters under normal conditions, 50% shading, and 75% shading are obtained. A total of 18 parameters are displayed in three conditions, and the page display will be very complicated, which is not conducive to user viewing. The fusion cross-media technology is used to complete the cascade dynamic map display of flower retrieval, and the phenotypic characteristic information and physiological characteristic information are divided into two parts of the first-level map, each of which includes a specific method node of the cultivation measure. When the user views one of the nodes, the mouse is placed on the node, and the other nodes are dimmed through animation display, only the main node and the node are highlighted, and the characteristic parameters related to the main node under the influence of the node method are displayed in a dynamic text box.

[0125] like Figure 6 As shown, a device for searching knowledge of scientific cultivation and maintenance of flowers is provided, and the device comprises:

[0126] The receiving module 610 is used to receive the search information related to the scientific cultivation and maintenance knowledge of flowers input by the user;

[0127] A search module 620 is used to obtain search results by searching a pre-built multi-level associated flower scientific cultivation and maintenance knowledge graph information database;

[0128] The display module 630 is used to integrate cross-media technology to display the flower retrieval cascade dynamic graph.

[0129] Optionally, the device further includes a construction module, and the construction module specifically includes:

[0130] The sub-module is used to divide the knowledge system of flower scientific cultivation and maintenance into a flower basic information system and a flower scientific cultivation experience system;

[0131] The first construction submodule is used to construct a conceptual model of the flower basic information system and the flower scientific cultivation experience system;

[0132] The second construction submodule is used to construct the flower scientific cultivation and maintenance knowledge graph information database according to the graph concept model.

[0133] Optionally, the first building submodule is specifically used to:

[0134] The graph conceptual model for constructing the basic information system of flowers specifically includes:

[0135] Divide the conceptual entity level of flowers according to the types and varieties of flowers;

[0136] Define flower concept entities at different levels, and construct the graph concept model of the basic flower information system by dividing the levels from top to bottom according to the granularity level of the concept entities. The basic flower information system is denoted as T, the top-level concept granularity entity of flowers is denoted as E, and the number of them is denoted as n. They satisfy the following constraints:

[0137]

[0138] In the graph conceptual model of the basic information system of flowers, two adjacent layers, the high-granularity layer entity is recorded as e, the low-granularity layer entity is recorded as sube, and the number of sub-entities under the same high-level entity is recorded as m, which satisfy the following constraints:

[0139]

[0140] Next, define the relationship between different flower concept entities, denoted as R, and express it with triples. The relationship between high-level entities can be inherited by their child entities, and they satisfy the following reasoning relationship:

[0141]

[0142] In the graph conceptual model of the basic information system of flowers, the relationship between entities is reversible, and the inverse relationship is denoted by R -1 As long as there is a relationship between entities, it means that there is a correlation between the two entities. The correlation between the two entities is denoted by R 0 , they satisfy the following inference relationship:

[0143]

[0144] Optionally, the first building submodule is further used to:

[0145] Define the concept and attributes of nurturing experience based on the scientific nurturing experience method;

[0146] Scientific cultivation rules are defined based on cultivation experience. The establishment of the scientific cultivation rules includes two aspects: first, cultivation and maintenance methods are used as antecedents, and flower varieties significantly affected by the cultivation and maintenance methods are used as consequences; second, cultivation and maintenance methods and flower varieties are used as antecedents, and flower physiological characteristic information generated by the flower varieties under the specific implementation of the cultivation and maintenance methods is used as consequences. Relevant cultivation and maintenance methods are obtained by reverse reasoning from cultivation goals, and then scientific cultivation plans are obtained by forward reasoning from cultivation and maintenance methods. The cultivation goals are flower appearance characteristic attributes, and the scientific cultivation plans are obtained by flower variety retrieval, thereby realizing the integration of basic information on flower appearance characteristics and experience information;

[0147] The scientific cultivation experience system is denoted as C, the change of the appearance characteristics of a flower corresponds to one or more empirical rules, a certain flower is denoted as e′, and a certain cultivation and maintenance method is denoted as The collection of flower species it affects is denoted as There are many cultivation and maintenance methods. The set of cultivation and maintenance methods is denoted as Φ, a certain empirical cultivation plan is denoted as τ, and the set of empirical cultivation plans is denoted as Λ. The reasoning satisfies the following constraints:

[0148]

[0149] Optionally, the second construction submodule is specifically used to:

[0150] Extract flower cultivation information from a large amount of scattered experimental data and various cultivation information databases;

[0151] The flower scientific cultivation and maintenance knowledge graph information database is constructed according to the graph concept model, wherein the structure of the flower scientific cultivation and maintenance knowledge graph information database is consistent with the definition of the entities and attributes of the graph concept model, and the flower scientific cultivation and maintenance knowledge graph information database includes a basic information database and a scientific cultivation experience database, and the scientific cultivation experience database includes a cultivation method library and a cultivation rule library, wherein, in the construction of the basic information database, the phenotypic characteristic information and physiological characteristic information of various types of flowers are stored, and according to the multi-layer definition structure of the entity, the phenotypic characteristic information and physiological characteristic information of various types of flowers are first stored according to the types of flowers, and then in the same The cultivation method library is a two-level associated database, which first stores the usual cultivation and maintenance methods in a data table, and then stores the specific cultivation plans and their significant impact on flower types according to the cultivation and maintenance methods; the cultivation rule library includes two parts, one part takes the cultivation and maintenance methods as the antecedent and the significant impact on flower varieties as the consequent; the other part takes the cultivation and maintenance methods as the antecedent and the specific cultivation plans and their significant impact on the phenotypic and physiological characteristic parameters of flowers as the consequent; the basic information library and the cultivation method library and the cultivation rule library are associated based on flower varieties; finally, a multi-level associated database is established.

[0152] Optionally, the retrieval module is specifically used to:

[0153] A multi-branch tree retrieval mechanism is used for retrieval. During the retrieval, the flower scientific cultivation and maintenance knowledge graph information database is first located according to the flower species, and then the relevant cultivation and maintenance methods are located according to the cultivation objectives, thereby obtaining a scientific cultivation plan.

[0154] Optionally, the display module is specifically used for:

[0155] By defining the focusNodeAdjacency attribute of the atlas node and the itemStyle attribute of different information nodes, the text is combined with animation or color change. When displaying the scientific cultivation and maintenance knowledge of flowers in the atlas, the light and dark dynamic display of the atlas nodes and the different color display of different nodes are realized, which enhances the focus of the retrieval knowledge.

[0156] By configuring the tooltip attribute, a two-level linkage display of basic flower information and scientific cultivation information is achieved in the form of node + dynamic text box, which concisely and comprehensively displays the search knowledge.

[0157] Figure 7is a schematic diagram of the structure of an electronic device 700 provided in an embodiment of the present invention. The electronic device 700 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 701 and one or more memories 702, wherein the memory 702 stores at least one instruction, and the at least one instruction is loaded and executed by the processor 701 to implement the steps of the above-mentioned retrieval method of flower scientific cultivation and maintenance knowledge.

[0158] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including instructions, which can be executed by a processor in a terminal to complete the above-mentioned method for retrieving the knowledge of flower scientific cultivation and maintenance. For example, the computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0159] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0160] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for retrieving knowledge on scientific cultivation and maintenance of flowers. It is characterized in that The method comprises: Receiving search information related to scientific flower cultivation and maintenance knowledge input by users; The search results are obtained by searching the pre-built multi-level associated flower science cultivation and maintenance knowledge graph information database; Integrate cross-media technology to display the cascade dynamic map of flower retrieval; The pre-construction of the flower scientific cultivation and maintenance knowledge graph information database specifically includes: The knowledge system of scientific flower cultivation and maintenance is divided into the basic information system of flowers and the experience system of scientific flower cultivation; Constructing a conceptual model of the basic information system of flowers and the experience system of scientific flower cultivation; Constructing the flower scientific cultivation and maintenance knowledge graph information database according to the graph concept model; The graph conceptual model for constructing the basic information system of flowers specifically includes: Divide the conceptual entity level of flowers according to the types and varieties of flowers; Define flower concept entities at different levels, and construct the graph concept model of the basic flower information system by dividing the levels from top to bottom according to the granularity level of the concept entities. The basic flower information system is denoted as T, the top-level concept granularity entity of flowers is denoted as E, and the number of them is denoted as n. They satisfy the following constraints: In the graph conceptual model of the basic information system of flowers, two adjacent layers, the high-granularity layer entity is recorded as e, the low-granularity layer entity is recorded as sube, and the number of sub-entities under the same high-level entity is recorded as m, which satisfy the following constraints: Next, define the relationship between different flower concept entities, denoted as R, and express it with triples. The relationship between high-level entities can be inherited by their child entities, and they satisfy the following reasoning relationship: In the graph conceptual model of the basic information system of flowers, the relationship between entities is reversible, and the inverse relationship is denoted by R -1 As long as there is a relationship between entities, it means that there is a correlation between the two entities. The correlation between the two entities is denoted by R 0 , they satisfy the following inference relationship: The graph conceptual model for constructing the flower scientific cultivation experience system specifically includes: Define the concept and attributes of nurturing experience based on the scientific nurturing experience method; Scientific cultivation rules are defined based on cultivation experience. The establishment of the scientific cultivation rules includes two aspects: first, cultivation and maintenance methods are used as antecedents, and flower varieties significantly affected by the cultivation and maintenance methods are used as consequences; second, cultivation and maintenance methods and flower varieties are used as antecedents, and flower physiological characteristic information generated by the flower varieties under the specific implementation of the cultivation and maintenance methods is used as consequences. Relevant cultivation and maintenance methods are obtained by reverse reasoning from cultivation goals, and then scientific cultivation plans are obtained by forward reasoning from cultivation and maintenance methods. The cultivation goals are flower appearance characteristic attributes, and the scientific cultivation plans are obtained by flower variety retrieval, thereby realizing the integration of basic information on flower appearance characteristics and experience information; The scientific cultivation experience system is denoted as C, the change of the appearance characteristics of a flower corresponds to one or more empirical rules, a certain flower is denoted as e′, and a certain cultivation and maintenance method is denoted as The collection of flower species it affects is denoted as There are many cultivation and maintenance methods. The set of cultivation and maintenance methods is denoted as Φ, a certain empirical cultivation plan is denoted as τ, and the set of empirical cultivation plans is denoted as Λ. The reasoning satisfies the following constraints:

2. The method according to claim 1, It is characterized in that The construction of the flower scientific cultivation and maintenance knowledge graph information database according to the graph concept model specifically includes: Extract flower cultivation information from a large amount of scattered experimental data and various cultivation information databases; The flower scientific cultivation and maintenance knowledge graph information database is constructed according to the graph concept model, wherein the structure of the flower scientific cultivation and maintenance knowledge graph information database is consistent with the definition of the entities and attributes of the graph concept model, and the flower scientific cultivation and maintenance knowledge graph information database includes a basic information database and a scientific cultivation experience database, and the scientific cultivation experience database includes a cultivation method library and a cultivation rule library, wherein, in the construction of the basic information database, the phenotypic characteristic information and physiological characteristic information of various types of flowers are stored, and according to the multi-layer definition structure of the entity, the phenotypic characteristic information and physiological characteristic information of various types of flowers are first stored according to the types of flowers, and then in the same The cultivation method library is a two-level associated database, which first stores the usual cultivation and maintenance methods in a data table, and then stores the specific cultivation plans and their significant impact on flower types according to the cultivation and maintenance methods; the cultivation rule library includes two parts, one part takes the cultivation and maintenance methods as the antecedent and the significant impact on flower varieties as the consequent; the other part takes the cultivation and maintenance methods as the antecedent and the specific cultivation plans and their significant impact on the phenotypic and physiological characteristic parameters of flowers as the consequent; the basic information library and the cultivation method library and the cultivation rule library are associated based on flower varieties; finally, a multi-level associated database is established.

3. The method according to claim 2, It is characterized in that The search results obtained by searching the pre-built multi-level associated flower scientific cultivation and maintenance knowledge graph information database specifically include: A multi-branch tree retrieval mechanism is used for retrieval. During the retrieval, the flower scientific cultivation and maintenance knowledge graph information database is first located according to the flower species, and then the relevant cultivation and maintenance methods are located according to the cultivation objectives, thereby obtaining a scientific cultivation plan.

4. The method according to claim 3, It is characterized in that The integrated cross-media technology to display the flower search cascade dynamic graph specifically includes: By defining the focusNodeAdjacency attribute of the atlas node and the itemStyle attribute of different information nodes, the text is combined with animation or color change. When displaying the scientific cultivation and maintenance knowledge of flowers in the atlas, the light and dark dynamic display of the atlas nodes and the different color display of different nodes are realized, which enhances the focus of the retrieval knowledge. By configuring the tooltip attribute, a two-level linkage display of basic flower information and scientific cultivation information is achieved in the form of node + dynamic text box, which concisely and comprehensively displays the search knowledge.

5. A device for searching knowledge on scientific cultivation and maintenance of flowers, It is characterized in that The device comprises: A receiving module, used to receive search information related to flower scientific cultivation and maintenance knowledge input by a user; A search module, used to obtain search results by searching a pre-built multi-level associated flower science cultivation and maintenance knowledge graph information database; A display module, used to integrate cross-media technology to display the cascade dynamic graph of flower retrieval; The pre-construction of the flower scientific cultivation and maintenance knowledge graph information database specifically includes: The knowledge system of scientific flower cultivation and maintenance is divided into the basic information system of flowers and the experience system of scientific flower cultivation; Constructing a conceptual model of the basic information system of flowers and the experience system of scientific flower cultivation; Constructing the flower scientific cultivation and maintenance knowledge graph information database according to the graph concept model; The graph conceptual model for constructing the basic information system of flowers specifically includes: Divide the conceptual entity level of flowers according to the types and varieties of flowers; Define flower concept entities at different levels, and construct the graph concept model of the basic flower information system by dividing the levels from top to bottom according to the granularity level of the concept entities. The basic flower information system is denoted as T, the top-level concept granularity entity of flowers is denoted as E, and the number of them is denoted as n. They satisfy the following constraints: In the graph conceptual model of the basic information system of flowers, two adjacent layers, the high-granularity layer entity is recorded as e, the low-granularity layer entity is recorded as sube, and the number of sub-entities under the same high-level entity is recorded as m, which satisfy the following constraints: Next, define the relationship between different flower concept entities, denoted as R, and express it with triples. The relationship between high-level entities can be inherited by their child entities, and they satisfy the following reasoning relationship: In the graph conceptual model of the basic information system of flowers, the relationship between entities is reversible, and the inverse relationship is denoted by R -1 As long as there is a relationship between entities, it means that there is a correlation between the two entities. The correlation between the two entities is denoted by R 0 , they satisfy the following inference relationship: The graph conceptual model for constructing the flower scientific cultivation experience system specifically includes: Define the concept and attributes of nurturing experience based on the scientific nurturing experience method; Scientific cultivation rules are defined based on cultivation experience. The establishment of the scientific cultivation rules includes two aspects: first, cultivation and maintenance methods are used as antecedents, and flower varieties significantly affected by the cultivation and maintenance methods are used as consequences; second, cultivation and maintenance methods and flower varieties are used as antecedents, and flower physiological characteristic information generated by the flower varieties under the specific implementation of the cultivation and maintenance methods is used as consequences. Relevant cultivation and maintenance methods are obtained by reverse reasoning from cultivation goals, and then scientific cultivation plans are obtained by forward reasoning from cultivation and maintenance methods. The cultivation goals are flower appearance characteristic attributes, and the scientific cultivation plans are obtained by flower variety retrieval, thereby realizing the integration of basic information on flower appearance characteristics and experience information; The scientific cultivation experience system is denoted as C, the change of the appearance characteristics of a flower corresponds to one or more empirical rules, a certain flower is denoted as e′, and a certain cultivation and maintenance method is denoted as The collection of flower species it affects is denoted as There are many cultivation and maintenance methods. The set of cultivation and maintenance methods is denoted as Φ, a certain empirical cultivation plan is denoted as τ, and the set of empirical cultivation plans is denoted as Λ. The reasoning satisfies the following constraints:

6. An electronic device, comprising a memory and a processor, wherein the memory stores at least one instruction. It is characterized in that The at least one instruction is loaded and executed by the processor to implement the retrieval method for flower scientific cultivation and maintenance knowledge as described in any one of claims 1-4.

7. A computer-readable storage medium, wherein at least one instruction is stored in the storage medium. It is characterized in that The at least one instruction is loaded and executed by the processor to implement the retrieval method for flower scientific cultivation and maintenance knowledge of any one of claims 1-4.

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