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Attribute-Based Classification Method for Automatic Construction of Answer Set  

오효정 (한국전자통신연구원 휴먼정보검색연구팀)
장문수 (서경대학교 소프트웨어학과)
장명길 (한국전자통신연구원 휴먼정보검색연구팀)
Abstract
The main thrust of our talk will be based on our experience in developing and applying an attribute-based classification technique in the context of an operational answer set driven retrieval system. To alleviate the difficulty and reduce the cost of manually constructing and maintaining answer sets, i.e., knowledge base, we have devised a new method of automating the answer document selection process by using the notion of attribute-based classification, which is in and of itself novel. We attempt to explain through experiments how helpful the proposed method is for the knowledge base construction process.
Keywords
Attribute-based Classification; Automatic Knowledge base Construction; Answer set driven IR;
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Times Cited By KSCI : 1  (Citation Analysis)
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