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http://dx.doi.org/10.17662/ksdim.2010.6.4.011

Similarity measure for P2P processing of semantic data  

Kim, Byung Gon (부천대학 e-비즈니스과)
Kim, Youn Hee (부천대학 e-비즈니스과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.6, no.4, 2010 , pp. 11-20 More about this Journal
Abstract
Ontology is important role in semantic web to construct and query semantic data. Because of dynamic characteristic of ontology, P2P environment is considered for ontology processing in web environment. For efficient processing of ontology in P2P environment, clustering of peers should be considered. When new peer is added to the network, cluster allocation problem of the new peer is important for system efficiency. For clustering of peers with similar chateristics, similarlity measure method of ontology in added peer with ontologies in other clusters is needed. In this paper, we propose similarity measure techniques of ontologies for clustering of peers. Similarity measure method in this paper considered ontology's strucural characteristics like schema, class, property. Results of experiments show that ontologies of similar topics, class, property can be allocated to the same cluster.
Keywords
Ontology; P2P; Similarity measure; Semantic web; Clustering;
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