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http://dx.doi.org/10.9708/jksci.2010.15.5.001

A Study on Ontology Instance Generation Using Keywords  

Han, Kwang-Rok (호서대학교 컴퓨터공학부)
Kang, Hyun-Min (호서대학교대학원 메카트로닉스공학과)
Sohn, Surg-Won (호서대학교 뉴미디어학과)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.5, 2010 , pp. 1-11 More about this Journal
Abstract
The success of semantic web depends largely on the semantic annotation which systematizes knowledge for the construction and production of ontology. Therefore, the efficiency of semantic annotation is very important in order to change many knowledge expressions and generate into ontology instances. In this paper, we presents a generation system of rule-based ontology instances which are produced accurately and efficiently via semantic annotation in conventional web sites. In conventional studies, the manual process is necessary for finding relevant information, comparing it with ontology, and entering information. We propose a new method that manages keyword data regarding extracted information and rule information separately. Thus, it is quite practical to extract information efficiently from various web documents by adding a small number of keywords and rules. The proposed method shows the possibility of ontology instance generation which reuses the rules and keywords from the various websites.
Keywords
Ontology; Instance Generation; keyword;
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Times Cited By KSCI : 3  (Citation Analysis)
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