A knowledge map construction method based on hierarchical category information

A knowledge map and category information technology, applied in the direction of semantic tool creation, unstructured text data retrieval, text database clustering/classification, etc., can solve the problems of not being able to describe details well and affecting accuracy

Active Publication Date: 2022-04-26
ZHEJIANG GONGSHANG UNIVERSITY
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] Whether the knowledge graph can be effectively modeled has become the key to the application of the knowledge graph. The traditional method regards the relationship between entities as independent, ignoring many information hidden in the knowledge graph, such as the category of the relationship. , the correspondence between relationships, etc., so that only a limited model of the knowledge map can be constructed, and some details cannot be well described, which affects the accuracy of the application

Method used

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  • A knowledge map construction method based on hierarchical category information
  • A knowledge map construction method based on hierarchical category information
  • A knowledge map construction method based on hierarchical category information

Examples

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Embodiment Construction

[0036] The following takes the construction of legal document map as an example to further describe the present invention:

[0037] (1) Entity relationship annotation

[0038] Based on the content of the legal document, all the entities and relationships involved in the document are marked. After a certain amount of labeling, duplicate entities and relationships are deduplicated, and then the entities are aligned. For example, the following entities, relations, and some triples containing them can be obtained through marriage legal documents.

[0039] Entity: husband, wife, children, borrower, company, house, property...

[0040] Relationship: spouse, maintenance, performance of maintenance obligations, failure to fulfill maintenance obligations, support, domestic violence, cohabitation, sub-bureau, inheritance...

[0041] Triads: (husband, spouse, wife), (husband, support, old man), (wife, support, children), (children, inheritance, property)...

[0042] (2) Get relations...

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Abstract

Aiming at the deficiencies of existing knowledge map construction methods, the present invention discloses a hierarchical category-based knowledge map construction method, which can use the Word2vec tool to go through the following steps: entity relationship labeling, obtaining relationship category information, building hierarchical categories, Hierarchical embedding of knowledge graphs automatically adds hierarchical information to the relationship of knowledge graphs, which can greatly improve the accuracy of knowledge graph modeling and enable it to be better used in practical applications such as knowledge question answering, intelligent search, and case matching.

Description

technical field [0001] The invention belongs to the technical field of knowledge graphs, and in particular relates to a method for constructing knowledge graphs based on hierarchical category information. Background technique [0002] Knowledge graph is essentially a large-scale semantic network, which contains various entities, concepts and semantic relations. By representing knowledge in the form of a knowledge graph, knowledge can be better learned and expressed by machines. The embedded representation of the knowledge graph refers to representing the entities and relationships in the knowledge graph as a low-dimensional vector in the model, which further improves the computability of knowledge in the knowledge graph. [0003] After being trained by the knowledge spectrum graph embedding method in knowledge representation learning, the embedding results of entities and relations can be easily applied to downstream tasks or practical applications. For example: knowledge ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/33G06F16/35G06F16/36G06N20/00
CPCG06F16/3344G06F16/35G06F16/367G06N20/00
Inventor 徐晨鸥杨柏林
Owner ZHEJIANG GONGSHANG UNIVERSITY
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