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Ontology-Based Deep Web Interface Schema Integration (OBDIS) uses two levels structure to establish matching relationships and eliminate semantic heterogeneity among concepts and terms of Database schemas on the Web, coupled with the assistance from domain ontology and form ontologies, in which the former is used to describe the domain knowledge and provide the sharing vocabulary base, and the latter...
Following with the rapid development of e-commerce Websites and on-line business, how to aggregate and unify information from millions of on-line ontologies becomes an important searching field. In order to solve this problem among taxonomy ontologies, this paper proposed a searching method based on fuzzy clustering. The similarity among different conceptions can be well calculated by fuzzy clustering...
In recent years, with the virtually unlimited amount of information sources, the deep Web is clearly becoming an important frontier for data integration. Schema matching is fundamental for supporting query mediation across deep Web sources. To integrate the millions of heterogeneous information sources and complete synonymous matching among the query interfaces, this paper developed an automatically...
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