Multi-source text knowledge representation, acquisition and fusion system

A knowledge representation and knowledge technology, applied in the field of natural language knowledge classification in the knowledge base, can solve the problems of high error rate, resource consumption, lack of knowledge retrieval, acquisition and merger technology, etc.

Inactive Publication Date: 2019-07-12
QUFU NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 establishmen

Method used

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  • Multi-source text knowledge representation, acquisition and fusion system
  • Multi-source text knowledge representation, acquisition and fusion system
  • Multi-source text knowledge representation, acquisition and fusion system

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Embodiment Construction

[0028] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0029] Such as figure 1 As shown, a multi-source text knowledge representation, acquisition and fusion system includes a visual interface, control buttons and a knowledge merging interface. The control buttons include a search keyword button, a knowledge recognition button, a knowledge merging button and an exit button. It is characterized in that, The system divides and saves text from known knowledge sources, extracts keywords, uses keywords to fill in knowledge, disambiguates knowledge, verifies and stores it to generate a knowledge base, which specifically includes the following steps:

[0030] 11. Text knowledge segmentation: In the initialization function OnInitDialog of the dialog box, the text is segmented with "." as the separator, and the segmentation results are stored in the string array;

[0031] 12. Keyword s...

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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...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06N5/02
CPCG06F16/35G06N5/025
Inventor 雷玉霞田晶莹陈娟韩永花闫昱姝
Owner QUFU NORMAL UNIV
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