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Knowledge ontology construction method, terminal equipment and storage medium

A technology of ontology construction and knowledge, applied in the field of knowledge graph construction, which can solve the problems of uneven business experience of personnel and executives, stuck in analysis, and the effect of case handling cannot develop in the expected direction.

Active Publication Date: 2021-04-23
XIAMEN MEIYA PICO INFORMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the past, the solutions were based on the experience of customers or business personnel to solve problems. However, due to the flow of personnel, the business experience of executive personnel is uneven, and the effect of case handling cannot develop in the expected direction, and the analysis currently remains at the level of inquiry and statistics. Simple application, unable to give full play to the value of data

Method used

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  • Knowledge ontology construction method, terminal equipment and storage medium
  • Knowledge ontology construction method, terminal equipment and storage medium
  • Knowledge ontology construction method, terminal equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0036] The embodiment of the present invention provides a knowledge ontology construction method, based on neo4j as the storage medium of the knowledge base, based on Java as the application-level technology, such as figure 1 As shown, the method includes the following steps:

[0037] S1: Construct a knowledge ontology and configure metadata corresponding to the ontology.

[0038] Usually, the domain ontology is constructed in a top-down manner. On the one hand, compared with the open domain knowledge graph, the concepts and scope involved in the domain knowledge graph are fixed or controllable; on the other hand, for the domain knowledge graph, we It is required to meet higher precision. In this embodiment, the ontology of the burglary case is unlocked through the ontology construction tool Protege construction technology, such as figure 2 , image 3 and Figure 4 As shown, a knowledge ontology file expressed in OWL is obtained.

[0039] In this embodiment, after the ow...

example 1

[0045] Example 1: In the case relationship in the same region, the rule file defining the case relationship is as follows Figure 7 shown.

[0046] Rule description: Find out whether the case area (CODE_XZQHDM_LEV3 or CODE_XZQHDM_LEV2) of the current evaluation case is the same and is not another case node of the current case, and build the case relationship in the same area, and create the area adjacent relationship if the CODE_XZQHDM_LEV3 is the same.

example 2

[0047] Example 2: The rule file containing the relationship with the suspect is as follows Figure 8 shown.

[0048] Rule description: Query all suspects in the current case and query other related cases of the suspect set, and the related case number is not the knowledge node of the current case, and build a relationship with the same suspect.

[0049] Through the above rules to mine the case relationship, backfill and supplement the knowledge base, and improve the ability of the knowledge base.

[0050] The rule engine realizes ontology object attribute reasoning:

[0051]Taking the case number A440305030000201XXXXX as an example, to query all the relations of the burglary case, the Neo4j library cypher statement is expressed as: match(s: Case)-[p*]->(n)return s, p, o;

[0052] Among them, s, p, and o are case knowledge, reception relationship, and knowledge node objects connected by cases respectively.

[0053] Texture: the returned data format

[0054] Query through th...

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PUM

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Abstract

The invention relates to a knowledge ontology construction method, terminal equipment and a storage medium, and the method comprises the steps: S1, constructing a knowledge ontology, and configuring metadata corresponding to the ontology; S2, according to the constructed knowledge ontology and the configured metadata, collecting corresponding entity data and storing the entity data into a knowledge base; S3, constructing a rule base; S4, loading the instances and extracting instance data from the instances according to the configured metadata and rules in the rule base; extracting knowledge nodes and triple data according to the instance data and adding the knowledge nodes and the triple data into a knowledge graph library; S5, constructing a new rule according to the extracted structured data and the extracted triple data, and updating the new rule into a rule base; S6, generating a knowledge graph according to the knowledge library. Semantic analysis is carried out on the basis of structured data and unstructured data of instance data, knowledge data are driven through description of metadata on ontology and construction of a rule base, and a knowledge graph is constructed.

Description

technical field [0001] The present invention relates to the field of knowledge map construction, in particular to a knowledge ontology construction method, a terminal device and a storage medium. Background technique [0002] With the popularization of the Internet and the gradual deepening of customers' understanding of business, information systems are also widely used, which improves the interoperability and scalability of data, and improves office efficiency to a certain extent. However, in the face of a large amount of legal case information, how business personnel can quickly solve the positioning problem has become an urgent problem to be solved. [0003] In the past, the solutions were based on the experience of customers or business personnel to solve problems, but it was also due to the flow of personnel that the business experience of executive personnel was uneven, and the effect of case handling could not develop in the expected direction, and the analysis curre...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/31G06F40/211G06F40/284G06F40/289G06Q50/26G06N5/04
CPCG06F16/367G06F16/313G06F40/211G06F40/289G06F40/284G06Q50/26G06N5/04
Inventor 傅金争袁泉王电乔盛
Owner XIAMEN MEIYA PICO INFORMATION