Multi-source text knowledge representation, acquisition and fusion system

Abstract

The invention discloses a multi-source text knowledge representation, acquisition and fusion system, and particularly relates to the field of natural language knowledge classification in a knowledge base. The system solves defects that in the prior art, a full-intelligent system is relatively deficient in a knowledge base establishing mode which autonomously obtains knowledge, autonomous knowledgeretrieve, acquisition and combination technologies, the established knowledge base is relatively low in accuracy and precision, a full-manual operation mode would consume a large number of resources,and the error rate is high. According to the system, a balance point is found from resource consumption and knowledge base accuracy. The system specifically comprises a visual interface, control buttons and a knowledge merging interface. The control buttons comprise a keyword search button, a knowledge recognition button, a knowledge merging button and an exit button, and the system carries out text segmentation storage and keyword extraction from a known knowledge source, knowledge filling by using keywords, and knowledge disambiguation and verification, and then stores and generates a knowledge base.

Description

technical field [0001] The invention relates to the field of natural language knowledge classification in a knowledge base, in particular to a multi-source text knowledge representation, acquisition and fusion system. Background technique [0002] Natural language knowledge service system is a very active branch of artificial intelligence. A natural language knowledge service system involves many aspects such as knowledge engineering, database technology, man-machine interface design, big data analysis technology and personalized recommendation service. [0003] A lot of practice has proved that to make a computer system truly intelligent requires not only a large knowledge base, but also extensive and meaningful connections between knowledge. Therefore, there are three key points as follows: first, as the knowledge source of the query system, it is first necessary to establish a domain knowledge base with high precision, small granularity, coordination and good connectivit...

AI Technical Summary

Problems solved by technology

[0005] It is the most ideal way to establish a knowledge base for a fully intelligent system to acquire knowledge independently, which can save resources to the greatest extent and ensure the accuracy of knowledge base establishment. Insufficient, the accuracy and precision of established knowledge bases are relatively low

[0006] The fully manual method uses manual input to build the knowledge base, which consumes a lot of resources and has a high error rate

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