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Automatic legal knowledge graph construction method

A knowledge graph and automatic construction technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as lack of legal knowledge graphs

Inactive Publication Date: 2017-09-01
UNIV OF SCI & TECH BEIJING
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method for automatically constructing legal knowledge graphs to solve the problem of lack of legal knowledge graphs existing in the prior art

Method used

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  • Automatic legal knowledge graph construction method
  • Automatic legal knowledge graph construction method
  • Automatic legal knowledge graph construction method

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Embodiment Construction

[0038] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0039] Aiming at the existing problem of lack of legal knowledge graph, the present invention provides an automatic construction method of legal knowledge graph.

[0040] like figure 1 As shown, the method for automatically constructing the legal knowledge map provided by the embodiment of the present invention includes:

[0041] S101, acquiring civil, criminal, and administrative trial documents as the corpus constructed from the legal knowledge graph, removing stop words and segmenting the corpus;

[0042] S102. According to the corpus after word segmentation, extract the subject words of the three types of trial documents respectively, perform part-of-speech tagging and filtering on the extracted subject words, and extract noun or noun phrase subject...

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Abstract

The invention provides an automatic legal knowledge graph construction method, and aims at automatically constructing legal knowledge graphs according to trial documents. The method comprises the following steps of carrying out stop word removal and word segmentation on obtained trial documents; respectively extracting subject words of three types of trial documents, carrying out part-of-speech tagging and filtration on the extracted subject words, and extracting noun or noun phrase subject word to serve as entity concepts of a legal knowledge graph according to the filtration result; obtaining words similar with each extracted noun or noun phrase subject word, carrying out part-of-speech tagging and filtration on the obtained similar words, and extracting noun or noun phrase subject word similar words as entity concepts of the legal knowledge graph according to the filtration result; and constructing the legal knowledge graph according to the extracted subject word entity concepts, the similar word entity concepts and triple structures such as subject word-subject relationship-subject word and subject word-similar relationship-similar word formed by a relationship between the subject word entity concepts and the similar word entity concepts. The invention relates to the technical field of knowledge engineering.

Description

technical field [0001] The invention relates to the technical field of knowledge engineering, in particular to a method for automatically constructing a legal knowledge graph. Background technique [0002] Knowledge Graph (KG) aims to describe the concepts, entities, events and the relationship between them in the objective world. The knowledge graph expresses the information of the Internet into a form that is closer to the human cognitive world, and provides a better ability to organize, manage and understand the massive information on the Internet. The knowledge graph has brought vitality to the semantic search of the Internet. At the same time, it has also shown great power in intelligent question answering, big data analysis and decision-making, and has become the infrastructure of the Internet's knowledge-based intelligent services. Knowledge graphs, together with big data and deep learning, have become one of the core driving forces for the development of artificial ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3335G06F16/335G06F16/367
Inventor 齐宇馨阿孜古丽贾麒张德政谢永红金佩
Owner UNIV OF SCI & TECH BEIJING
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