Tourism request-answer system answer abstracting method based on ontology reasoning

A technology of answer extraction and question answering system, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as huge cost, lack of reasoning ability of question answering system, lack of natural language understanding ability of reasoning system, etc., to improve response The effect of rate and recall

Inactive Publication Date: 2009-05-20
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0007] At the same time, the current question answering system lacks reasoning ability, and the reasoning system lacks natural language understanding ability
It is this problem that plagues the construction of a large-scale knowledge base system, and also makes it difficult for a knowledge base system built with huge manpower and material resources to provide knowledge services of a certain quality to the public.

Method used

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  • Tourism request-answer system answer abstracting method based on ontology reasoning
  • Tourism request-answer system answer abstracting method based on ontology reasoning

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Embodiment Construction

[0029] In the ontology knowledge base we built, a total of 2,380 instances of Yunnan tourism ontology were collected. The process is as follows:

[0030] 1. Define the ontology class structure

[0031] The ontology knowledge base is the brain of the question answering system, and its pros and cons are directly related to the efficiency of subsequent question analysis and answer extraction as well as the performance of the entire system. Therefore, in the process of establishing domain ontology knowledge base, we consider the scope of domain ontology, application purpose and other aspects. The process of designing an ontology generally includes: determining the scope of application, determining the concepts and attributes in the ontology, determining the relationship between concepts and attributes in the ontology, encoding the ontology, and evaluating the capabilities of the ontology. In this way, a relatively complete knowledge base can be generated. The experiment adopts a...

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Abstract

The invention relates to an answer extraction method for a tourism question and answer system based on ontology reasoning, which belongs to the field of artificial intelligence. The answer extraction method for the tourism question and answer system based on ontology reasoning is characterized in that: firstly, semantic rules in the field are defined, an artificial ontology knowledge base is constructed, and question sentences of users are analyzed; secondly, answer extraction is performed by combing semantic rule-based reasoning and information retrieval, instead of simple matching; and thirdly, corresponding answer extraction algorithms are designed according to different question sentence types. The invention provides the answer extraction method for the tourism question and answer system based on ontology reasoning, which introduces the ontology concept into construction of the knowledge base of the question and answer system, uses an OWL (Ontology Web Language) ontology descriptive language to clearly and definitely represent concepts, attributes and relations in the field of tourism, and more effectively organizes knowledge. In an open test, the precision of answers of the question and answer system based on ontology reasoning to 1346 natural language questions of the users reaches 81.35 percent, and the recall rate reaches 90.49 percent.

Description

technical field [0001] The invention relates to an answer extraction method of a tourism question answering system based on ontology reasoning. It belongs to the field of artificial intelligence. Background technique [0002] Automatic question answering system, also known as QA (Question Answering) system, is a new intelligent technology. It uses natural language processing technology to complete the analysis and processing of user questions on the one hand; Get the information you want quickly and accurately in the online world. At this stage, it is still very difficult for computers to fully understand human language, but for specific fields, using targeted methods, many successful application cases have been developed. [0003] In the automatic question answering system in the limited field, the answer extraction part is a difficult point, which is related to the final effect of the entire question answering system. The current question answering system answer extract...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 郭剑毅龚华明余正涛张志坤张宜浩毛存礼
Owner KUNMING UNIV OF SCI & TECH
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