Web-based domain knowledge map construction system and method

Abstract

The invention discloses a system and method for building a domain knowledge map based on Web, wherein the system includes: a knowledge modeling subsystem, which is used to obtain an initial knowledge model according to a preset data resource, and receive an operation instruction from an operation interface to Construct the data model of the knowledge map to obtain the knowledge model; the data and entity link subsystem is used to extract knowledge based on various types of data, and store the extracted knowledge into the knowledge map; the manual auxiliary labeling subsystem is used to receive user labeling instructions, To change the knowledge map according to the user's annotation instruction; the knowledge visualization subsystem is used to visually present the knowledge model, the dynamic link between the knowledge model and the entity, and the changed knowledge map. The system can easily and conveniently complete knowledge modeling, knowledge acquisition and knowledge visualization, which greatly reduces the difficulty of domain knowledge graph construction and helps to improve the accuracy of domain knowledge graph.

Description

technical field [0001] The present invention relates to the technical field of knowledge map construction, in particular to a system and method for building a domain knowledge map based on the Web (World Wide Web, global wide area network). Background technique [0002] A domain knowledge graph is a semantic network constructed by extracting entities and semantic relationships between entities from specific resources in a specific domain. The knowledge system it contains is usually highly domain-specific and professional. However, the current research results on the construction of domain knowledge graphs at home and abroad are mainly about the key technologies of natural language processing in knowledge graphs, including entity recognition, relationship recognition, entity linking, knowledge fusion, knowledge computing, etc. In the actual process of building domain knowledge graphs, in order to ensure accuracy, supervision and intervention by domain experts is often require...

AI Technical Summary

Problems solved by technology

[0005] However, the main problem of the domain knowledge graph construction system in related technologies is that the data modeling part of most domain knowledge graphs is automatically generated and expanded based on network content, and the accuracy of the data model is difficult to guarantee. It is urgent to introduce Expert assisted editing and manual supervision

However, for experts in the field of non-artificial intelligence, the natural language processing technology involved in the construction of knowledge graphs is difficult to understand, and the threshold for technical implementation is relatively high, which has greatly restricted the popularization and application of domain knowledge graphs, and needs to be solved. solve

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