CN111581398A - Method for constructing knowledge graph - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 48
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- 238000012216 screening Methods 0.000 claims abstract description 11
- 230000011218 segmentation Effects 0.000 claims description 10
- 238000012986 modification Methods 0.000 abstract description 4
- 230000004048 modification Effects 0.000 abstract description 4
- 230000001939 inductive effect Effects 0.000 abstract 1
- 201000010099 disease Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 4
- 238000012790 confirmation Methods 0.000 description 3
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- 238000013507 mapping Methods 0.000 description 3
- 229940079593 drug Drugs 0.000 description 2
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- 201000009906 Meningitis Diseases 0.000 description 1
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- 210000004080 milk Anatomy 0.000 description 1
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- 230000001225 therapeutic effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
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Abstract
The invention relates to a method for constructing a knowledge graph, which comprises the following steps of preliminarily listing the technical field of the industry, inquiring relevant data of the established industry, and classifying and inducing the data; determining the business category, and determining the business category name of the industry according to the query data; preliminarily screening service classes and establishing an attribution relation schematic diagram; determining a keyword; textualizing the business relation; inquiring industry expert opinions and completing modification; determining a final edition and generating an importable knowledge graph format. The method reduces the cost and improves the construction efficiency; in the construction process, the expert opinions are inquired and modified and determined for multiple times, so that the accuracy is further improved.
Description
Technical Field
The invention relates to the technical field of scientific and technical information management, in particular to a method for constructing a knowledge graph.
Background
The knowledge map is also called scientific knowledge map, is called knowledge domain visualization or knowledge domain mapping map in the book intelligence field, is a series of different graphs for displaying the relationship between the knowledge development process and the structure, describes knowledge resources and carriers thereof by using visualization technology, and excavates, analyzes, constructs, draws and displays the knowledge and the mutual relationship between the knowledge.
The big data analysis based on the knowledge graph realizes the essential semantic association of the big data, is more free and diversified than the traditional relational database, and can better meet the value exploration and information discovery requirements of users on big data gold mines.
The open general knowledge graph emphasizes the breadth, emphasizes the fusion of more entities, has low accuracy, and is difficult to cover the entities, attributes, relationships among the entities and the like in the vertical field of a specific industry by virtue of an ontology base under the influence of a concept range.
Some knowledge graphs have been developed, and for example, the invention patent of application publication No. CN110297872A discloses a method and system for constructing and querying knowledge graphs in the scientific and technological fields. The construction and query method of the knowledge graph in the scientific and technological field supports the user to define objects, relations and attributes, and can be flexibly expanded under the condition of application scene change; supporting the establishment of mapping from a data table to an object and a relation and mapping from a field to an attribute, extracting data in a relational database through Apache nifi, converting the data into object, attribute and relational instance data, storing the object, attribute and relational instance data into a database, and supporting incremental updating of the data; the defects of conception, accuracy and the like existing when the current general knowledge graph construction method is applied to a specific industry are effectively overcome.
The invention patent of the publication number CN103488724B discloses a book-oriented reading field knowledge graph construction method, which aims at the problems of shallow knowledge hierarchy, insufficient intelligence in knowledge recommendation and the like in the current electronic reading, provides a method for constructing a book-oriented field knowledge graph by combining a general knowledge graph, and constructs a knowledge network for an electronic book, thereby realizing the explanation of book words and intelligent knowledge recommendation.
Disclosure of Invention
The invention aims to provide a method for constructing a knowledge graph so as to improve the accuracy of the knowledge graph and improve the application value of the knowledge graph.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for constructing a knowledge graph comprises the following steps of (1) preliminarily listing the technical field of the industry, inquiring relevant data of the established industry, and classifying and summarizing the data;
(2) determining the business category, and determining the business category name of the industry according to the query data;
(3) preliminarily screening the service classes and establishing an attribution relation schematic diagram;
(4) determining a keyword;
(5) the business relation is textual;
(6) inquiring and modifying the expert opinions of the industry;
(7) determining a final edition and generating an imported knowledge graph format.
Further, in the step (1), the technical field of the industry is listed, and the technical field of the industry can be obtained by adopting the method (1-1) and the industry national standard classification according to the national economic industry classification of the State statistical office and the industry classification documents which can be referred to; or (1-2), classifying the industry internally, and searching industry experts or industry practitioners to participate in the construction work of the technical field of the industry; or (1-3) summarizing data classification, acquiring industry service information through encyclopedia, Wikipedia and encyclopedia search ways, and summarizing the technical field.
Further, in the step (2), the service category can be determined by adopting the method (2-1), and the required service category is selected according to the industry national standard classification and the requirement of the knowledge graph; or (2-2) directly acquiring the service classes required by the knowledge graph according to the internal classification of the industry; or (2-3) summarizing a relatively coarse business category by inquiring the industry data on the network.
Further, in the step (3), an attribution relationship schematic diagram is established according to the determined service class name, and in the process, the service class is deleted or added, so that the establishment of the attribution relationship schematic diagram is completed.
Further, the step (4) specifically comprises (4-1) searching keywords, and acquiring corresponding technical field keywords by inquiring related services of the industry on the internet;
(4-2) checking the keywords, providing an authoritative keyword by consulting industry experts and practitioners engaged in the industry or collecting bulletin titles of the industry to sort out a keyword, and screening and checking the keywords inquired on line according to the keyword;
(4-3) performing word segmentation, performing minimum word segmentation splitting on the checked keywords, and taking the words of the two characters as minimum words except proper nouns.
Further, in the step (5), the service relationship is textual, which is to finally confirm the attribution relationship, so as to conveniently generate an importable knowledge graph service relationship document.
Further, in step (6), the expert makes an opinion and modifies, and the step can be repeated several times to obtain the best knowledge map.
The invention has the beneficial effects that:
by executing the steps of the invention, the knowledge graph of a certain industry can be established, and the construction difficulty of the knowledge graph is reduced, thereby reducing the cost and improving the construction efficiency; in the construction process, the expert opinions are inquired and modified and determined for multiple times, so that the accuracy is further improved, and the method has good popularization value.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below.
Example 1 of the invention:
a method of constructing a knowledge graph comprising the steps of:
(1) the technical field of the industry is listed primarily, the relevant data of the established industry is inquired, and the data is classified and summarized.
Listing the technical field of the industry, and obtaining the technical field of the industry by adopting the method (1-1) and the industry national standard classification according to the national economic industry classification of the State statistical office and the referable industry classification documents.
(2) Determining the business category, and determining the business category name of the industry according to the query data.
The service category can be determined by adopting the method (2-1), and the required service category can be selected according to the industry national standard classification and the requirements of the knowledge graph.
(3) And preliminarily screening the service classes and establishing an attribution relation schematic diagram.
The process of establishing the schematic diagram is also the process of perfecting the industry business. And establishing an attribution relation schematic diagram according to the determined service type name, and deleting or adding the service type in the process to complete the establishment of the attribution relation schematic diagram. The service category is deleted or added according to the service flow of the industry, and industry experts or practitioners engaged in the industry are consulted.
(4) And determining the keywords.
Keywords in the technical field of industry are the core of whether knowledge graph recommendation is accurate or not. In the sorting process, the source and the ambiguous ideas of the ambiguous keywords are listed and provided according to the classification for the ambiguous keywords.
Searching keywords, and acquiring corresponding technical field keywords by inquiring related services of the industry on line;
(4-2) checking the keywords, providing an authoritative keyword by consulting industry experts and practitioners engaged in the industry or collecting bulletin titles of the industry to sort out a keyword, and screening and checking the keywords inquired on line according to the keyword;
(4-3) performing word segmentation, performing minimum word segmentation splitting on the checked keywords, and taking the words of the two characters as minimum words except proper nouns.
(5) And textualizing the business relation.
And the service relationship is subjected to textualization, namely the final confirmation of the attribution relationship, so that an imported knowledge graph service relationship document can be generated conveniently.
(6) Inquiring the expert opinion of the industry and completing the modification.
The expert proposes the opinion and modifies, the step can be repeated for several times, and the best industry knowledge map is obtained by modifying and confirming for many times.
After the above steps are completed, the knowledge-graph prototype has been completed. Although there are industry experts or industry internal practitioners to participate in guidance, leaders or more professionals are needed to make group efforts, and the industry knowledge map is obtained through continuous grinding and perfecting.
(7) Determining a final edition and generating an imported knowledge graph format.
And when all parts have no objection, determining the parts as final versions, and finishing establishing the knowledge graph.
The invention discloses a method for constructing a knowledge graph, which is used for constructing the knowledge graph aiming at a target object based on a target language. The target language can adopt JSON-LD language, the JSON-LD language is a method for representing and transmitting internet data based on JSON, and the JSON-LD language describes how to represent a directed graph through JSON and how to mix interconnected data and non-interconnected data in one document. In other words, the JSON-LD language is a JSON-based data format that can be used to implement structured data. The target object can refer to a certain specific field, such as a medical field, a mother and infant field, a marine field, an automobile field and the like; the present invention may also refer to a specific sub-field within a specific field, such as an engine, milk powder, a mobile phone, etc., and the embodiment of the present invention does not specifically limit the expression form of the target object.
The method for constructing the knowledge graph takes the medical field as an example, and keywords such as hospitals, experts, diseases, medicines and the like exist in the medical field. Each keyword has its own unique attributes, for example, the "disease" keyword has attributes of "symptom", "diagnosis", "pathological change", "treatment plan", and the like. There are various associations between keywords, for example, there is a "treatment" relationship between "medicine" and "disease", and there is a "good treatment" relationship between "expert" and "disease". There is a "therapeutic" relationship between "antibiotic drugs" and "meningitis". Therefore, an attribution relation schematic diagram can be established, and the knowledge graph is displayed in a visual mode.
Example 2 of the invention:
a method for constructing a knowledge graph comprises the following steps of (1) preliminarily listing the technical field of the industry, inquiring relevant data of the established industry, and classifying and summarizing the data.
Listing the technical field of the industry, and searching industry experts or industry practitioners to participate in the construction work of the technical field of the industry by adopting the method (1-2) and the internal classification of the industry.
(2) Determining the business category, and determining the business category name of the industry according to the query data.
The service category can be determined by adopting the method (2-2) and directly obtaining the service category required by the knowledge graph according to the internal classification of the industry.
(3) And preliminarily screening the service classes and establishing an attribution relation schematic diagram.
And establishing an attribution relation schematic diagram according to the determined service type name, and deleting or adding the service type in the process to complete the establishment of the attribution relation schematic diagram.
The service category is deleted or added according to the service flow of the industry, and industry experts or practitioners engaged in the industry are consulted.
(4) And determining the keywords.
Keywords in the technical field of industry are the core of whether knowledge graph recommendation is accurate or not. In the sorting process, the source and the ambiguous ideas of the ambiguous keywords are listed and provided according to the classification for the ambiguous keywords.
Searching keywords, and acquiring corresponding technical field keywords by inquiring related services of the industry on line;
(4-2) checking the keywords, providing an authoritative keyword by consulting industry experts and practitioners engaged in the industry or collecting bulletin titles of the industry to sort out a keyword, and screening and checking the keywords inquired on line according to the keyword;
(4-3) performing word segmentation, performing minimum word segmentation splitting on the checked keywords, and taking the words of the two characters as minimum words except proper nouns.
(5) And textualizing the business relation.
And the service relationship is subjected to textualization, namely the final confirmation of the attribution relationship, so that an imported knowledge graph service relationship document can be generated conveniently.
(6) Inquiring the expert opinion of the industry and completing the modification.
The expert proposes the opinion and modifies, the step can be repeated for several times, and the best industry knowledge map is obtained by modifying and confirming for many times.
After the above steps are completed, the knowledge-graph prototype has been completed. Although there are industry experts or industry internal practitioners to participate in guidance, leaders or more professionals are needed to make group efforts, and the industry knowledge map is obtained through continuous grinding and perfecting.
(7) Determining a final edition and generating an imported knowledge graph format.
And when all parts have no objection, determining the parts as final versions, and finishing establishing the knowledge graph.
Example 3:
a method of constructing a knowledge graph comprising the steps of:
(1) the technical field of the industry is listed primarily, the relevant data of the established industry is inquired, and the data is classified and summarized.
Listing the technical field of the industry, acquiring industry service information by adopting the method (1-3) and summarizing data classification through encyclopedia, Wikipedia and encyclopedia search ways, and summarizing the technical field.
(2) Determining the business category, and determining the business category name of the industry according to the query data.
The business category can be determined by a method (2-3) through inquiring industry data on the network, and a relatively rough business category is summarized.
(3) And preliminarily screening the service classes and establishing an attribution relation schematic diagram.
And establishing an attribution relation schematic diagram according to the determined service type name, and deleting or adding the service type in the process to complete the establishment of the attribution relation schematic diagram.
The service category is deleted or added according to the service flow of the industry, and industry experts or practitioners engaged in the industry are consulted.
(4) And determining the keywords.
Keywords in the technical field of industry are the core of whether knowledge graph recommendation is accurate or not. In the sorting process, the source and the ambiguous ideas of the ambiguous keywords are listed and provided according to the classification for the ambiguous keywords.
Searching keywords, and acquiring corresponding technical field keywords by inquiring related services of the industry on line;
(4-2) checking the keywords, providing an authoritative keyword by consulting industry experts and practitioners engaged in the industry or collecting bulletin titles of the industry to sort out a keyword, and screening and checking the keywords inquired on line according to the keyword;
(4-3) performing word segmentation, performing minimum word segmentation splitting on the checked keywords, and taking the words of the two characters as minimum words except proper nouns.
(5) And textualizing the business relation.
And the service relationship is subjected to textualization, namely the final confirmation of the attribution relationship, so that an imported knowledge graph service relationship document can be generated conveniently.
(6) Inquiring the expert opinion of the industry and completing the modification.
The expert proposes the opinion and modifies, the step can be repeated for several times, and the best industry knowledge map is obtained by modifying and confirming for many times.
After the above steps are completed, the knowledge-graph prototype has been completed. Although there are industry experts or industry internal practitioners to participate in guidance, leaders or more professionals are needed to make group efforts, and the industry knowledge map is obtained through continuous grinding and perfecting.
(7) Determining a final edition and generating an imported knowledge graph format.
And when all parts have no objection, determining the parts as final versions, and finishing establishing the knowledge graph.
The present invention is not limited to the above-mentioned preferred embodiments, and any other products in various forms can be obtained by anyone in the light of the present invention, but any changes in the shape or structure thereof, which have the same or similar technical solutions as those of the present application, fall within the protection scope of the present invention.
Claims (7)
1. A method of constructing a knowledge graph, comprising: the method comprises the following steps of (1) preliminarily listing the technical field of the industry, inquiring relevant data of the established industry, and classifying and summarizing the data;
(2) determining the business category, and determining the business category name of the industry according to the query data;
(3) preliminarily screening the service classes and establishing an attribution relation schematic diagram;
(4) determining a keyword;
(5) the business relation is textual;
(6) inquiring and modifying the expert opinions of the industry;
(7) determining a final edition and generating an imported knowledge graph format.
2. The method of constructing a knowledge graph according to claim 1, wherein: step (1), listing the technical field of the industry, and obtaining the technical field of the industry according to the national economy industry classification of the State statistical office and the referable industry classification documents by adopting the method (1-1) and the industry national standard classification; or (1-2), classifying the industry internally, and searching industry experts or industry practitioners to participate in the construction work of the technical field of the industry; or (1-3) summarizing data classification, acquiring industry service information through encyclopedia, Wikipedia and encyclopedia search ways, and summarizing the technical field.
3. The method of constructing a knowledge graph according to claim 2, wherein: in the step (2), the service category can be determined by adopting the method (2-1), and the required service category is selected according to the industry national standard classification and the requirement of the knowledge graph; or (2-2) directly acquiring the service classes required by the knowledge graph according to the internal classification of the industry; or (2-3) summarizing a relatively coarse business category by inquiring the industry data on the network.
4. The method of constructing a knowledge graph according to claim 1, wherein: in the step (3), the attribution relation schematic diagram is established according to the determined service type name, and in the process, the service type is deleted or newly added, and the establishment of the attribution relation schematic diagram is completed.
5. The method of constructing a knowledge graph according to claim 1, wherein: step (4), specifically comprising (4-1) searching keywords, and inquiring related services of the industry on line to obtain corresponding technical field keywords;
(4-2) checking the keywords, providing an authoritative keyword by consulting industry experts and practitioners engaged in the industry or collecting bulletin titles of the industry to sort out a keyword, and screening and checking the keywords inquired on line according to the keyword;
(4-3) performing word segmentation, performing minimum word segmentation splitting on the checked keywords, and taking the words of the two characters as minimum words except proper nouns.
6. The method of constructing a knowledge graph according to claim 1, wherein: in the step (5), the service relationship is textual, which is to finally confirm the affiliation relationship, so as to conveniently generate an imported knowledge graph service relationship document.
7. The method of constructing a knowledge graph according to claim 1, wherein: in step (6), the expert proposes the opinions and modifies them, and this step can be repeated several times to get the best knowledge map.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113468340A (en) * | 2021-06-28 | 2021-10-01 | 北京众标智能科技有限公司 | Construction system and construction method of industrial knowledge map |
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