Case information semantic retrieval method and device based on knowledge graph

Abstract

The invention relates to a knowledge graph-based case information semantic retrieval method and apparatus. The knowledge graph-based case information semantic retrieval method comprises the steps: constructing a legal knowledge graph according to a legal document; carrying out simple identification and intention identification on the questions input by the user; defining a sparql language query template, matching the corresponding sparql language query template according to the intention recognition result to perform first retrieval in the legal knowledge graph, and endowing a first confidencecoefficient to a first retrieval result; building a full-text search engine, carrying out second retrieval on the simple identification result in the full-text search engine, and endowing a second confidence coefficient to a second retrieval result; and outputting a final retrieval result according to the first confidence coefficient and the second confidence coefficient. According to the method,the relationship between entities can be fully mined, complex multi-hop semantic retrieval is completed, a retrieval result can be returned based on a full-text search engine even if semantic retrieval of the legal knowledge graph has output which cannot meet requirements, and the retrieval efficiency and accuracy are further improved.

Description

technical field [0001] This application belongs to the technical field of smart rule of law, and specifically relates to a method and device for semantic retrieval of case information based on knowledge graphs. Background technique [0002] Smart rule of law has become an important form of development in the field of rule of law under the background of the information age. Smart rule of law refers to the use of intelligent technical means to build an intelligent environment. As the amount of judicial case data continues to increase, the relationship between data is becoming more and more complex. At present, it is difficult to efficiently and quickly find information from a large number of legal documents. Mining the connection between information leads to the ineffective use of text information. [0003] The concept of "knowledge graph" defines a new way of knowledge organization. It tries to start from the data itself, transform unstructured data into structured data, an...

AI Technical Summary

Problems solved by technology

[0005] 1. In the knowledge graph retrieval and question answering system, most of the retrievals are based on simple one-hop queries. Complex semantic retrievals involving multiple hops often fail to obtain good results and cannot fully tap the relationship between entities.

[0006] 2. At present, the field of application of knowledge graph is mainly encyclopedia knowledge question and answer in general field, which cannot be effectively used in specific fields

[0007] 3. The retrieval system is only based on the semantic retrieval of knowledge graphs, and cannot output query results stably

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