WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2880
Volume 14, 2015
A Comparative Study on Syntax Matching Algorithms in Semantic Web
Authors: , ,
Abstract: In semantic web, extraction of meaningful information involves many tedious processes due to similarity between the information, context of the words used, structure similarity and relationship between the words. Ontology helps to understand the context of heterogeneous information available in the web. The domain specific ontologies can be merged to extract integrated information from various semantic websites. Different algorithms are in practice to find similarity between class names that are exist in different ontologies. The class names which are syntactically and semantically equal are identified and merged to produce global ontology that can be used for information retrieval. In this paper we have implemented and compared various syntax matching algorithms and identified the best syntax matching algorithm appropriate for semantic web environment. Performances of identified algorithms are analyzed and evaluated with respect to precision, recall and F-measure.
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Keywords: Syntax matching algorithm, Semantic Web, Information theory, Heterogeneity, Similarity measures
Pages: 474-486
WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2880, Volume 14, 2015, Art. #48