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Knowledge questioning-answering system based on ontology reasoning and working method of knowledge questioning-answering system

A question answering system and knowledge technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of not being able to remember and query results, etc., to achieve improved efficiency, good scalability, easy maintenance and The effect of using

Inactive Publication Date: 2017-05-31
中国人名解放军理工大学 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as the amount of knowledge increases, users cannot remember complex URIs (Uniform Resource Identifier, Uniform Resource Descriptor) and ontology Schema (axiom system) when querying, and often fail to find any results due to incorrect grammar input

Method used

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  • Knowledge questioning-answering system based on ontology reasoning and working method of knowledge questioning-answering system
  • Knowledge questioning-answering system based on ontology reasoning and working method of knowledge questioning-answering system
  • Knowledge questioning-answering system based on ontology reasoning and working method of knowledge questioning-answering system

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work, any modifications, equivalent replacements, improvements, etc., shall be included in the protection scope of the present invention Inside.

[0036] Such as figure 1 and 2 As shown, the knowledge question answering system based on ontology reasoning of the present invention includes a corpus management unit, a knowledge management unit, a knowledge reasoning unit, a comprehensive knowledge base unit, and a knowledge question answering interactive unit; the corpus management unit and the knowledge management unit are connected ...

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Abstract

The invention discloses a knowledge questioning-answering system based on ontology reasoning, and a working method of the knowledge questioning-answering system. The system comprises a language database management unit, a knowledge management unit, a knowledge reasoning unit, a comprehensive knowledge database unit and a knowledge questioning-answering interaction unit, wherein the language database management unit and the knowledge management unit are connected with each other and are respectively connected with the knowledge reasoning unit; the knowledge reasoning unit is connected with the comprehensive knowledge database unit; the comprehensive knowledge database unit is connected with the knowledge questioning-answering interaction unit. The working method of the system comprises the following steps: acquisition of web crawlers and acquisition of data of relational databases; keywords input of a user on a knowledge questioning-answering interface of the knowledge questioning-answering interaction unit for questioning; reasoning after questioning and answering guidance, query preprocessing, sentence model matching and model algorithm matching, generating of knowledge and result showing. According to the system and the working method of the system, a knowledge storage and organization standardization method is established by applying an ontology reasoning technology, therefore, the system is guaranteed to be simple and practical, and the accuracy of the system is improved.

Description

technical field [0001] The invention relates to the technical field of language information processing, in particular to a knowledge question answering system based on ontology reasoning and its working method. Background technique [0002] With the development of Internet technology, the amount of information that users are exposed to increases, and there is an urgent need to use information scientifically and effectively, reduce repetitive information and spam, and obtain satisfactory answers as quickly as possible. The simple knowledge question answering system uses information retrieval and query as the main method, does not consider the relevance and focus of user questions, and is inefficient. Based on natural language, the question answering system uses association rule mining to obtain the association relationship between the questions. After calculating the association relationship between the obtained questions, it provides users with interrelated answers, which re...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535G06F2216/03
Inventor 陈刚郝文宁淦文燕靳大尉刘斌赵水宁程恺韩超张珂陈敏杰陈彦君王军徐震张可新戴晖王玮
Owner 中国人名解放军理工大学
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