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http://dx.doi.org/10.17662/ksdim.2010.6.1.091

Rule-based Semantic Search Techniques for Knowledge Commerce Services  

Song, Sung Kwang (창원대학교 컴퓨터공학과)
Kim, Young Ji (하이브레인넷 부설연구소)
Woo, Yong Tae (창원대학교 컴퓨터공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.6, no.1, 2010 , pp. 91-103 More about this Journal
Abstract
This paper introduces efficient rule-based semantic search techniques to ontology-based knowledge commerce services. Primarily, the search techniques presented in this paper define rules of reasoning that are required for users to search using the concept of ontology, multiple characteristics, relations among concepts and data type. In addition, based on the defined rules, the rule-based reasoning techniques search ontology for knowledge commerce services. This paper explains the conversion rules of query which convert user's query language into semantic search words, and transitivity rules which enable users to search related tags, knowledge products and users. Rule-based sematic search techniques are also presented; these techniques comprise knowledge search modules that search ontology using validity examination of queries, query conversion modules for standardization and expansion of search words and rule-based reasoning. The techniques described in this paper can be applied to sematic knowledge search systems using tags, since transitivity reasoning, which uses tags, knowledge products, and relations among people, is possible. In addition, as related users can be searched using related tags, the techniques can also be employed to establish collaboration models or semantic communities.
Keywords
Semantic web; Ontology; Knowledge commerce service; Semantic search;
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Times Cited By KSCI : 2  (Citation Analysis)
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