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Titlebook: Web Information Systems Engineering - WISE 2005; 6th International Co Anne H. H. Ngu,Masaru Kitsuregawa,Quan Z. Sheng Conference proceeding

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oMAP: Combining Classifiers for Aligning Automatically OWL Ontologiess systems in the Semantic Web. Different components are combined for finding suitable mapping candidates (together with their weights), and the set of rules with maximum matching probability is selected. Machine learning-based classifiers and a new classifier using the structure and the semantics of
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Improving Web Data Annotations with Spreading Activationted to be easily readable by the human eye, “meaningful information” is still largely inaccessible for the computer applications. In this paper, we present automated algorithms to gather meta-data and instance information by utilizing global regularities on the Web and incorporating the contextual i
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A Formal Ontology Reasoning with Individual Optimization: A Realization of the Semantic Webntly, OWL, a family of web ontology languages based on description logic, has been proposed for the Semantic Web. Answering a query over the SemanticWeb is thus not trivial, but a deductive process. However, the reasoning on OWL with data has an efficiency problem. Thus, we introduce optimization te
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Querying and Repairing Inconsistent XML Datastence of repairs (i.e. minimal sets of update operations making data consistent) is investigated and shown to be undecidable in the general case. This pro-blem is shown to be still undecidable when data are interpreted as “incomplete” (so that they could be repaired by performing insert operations
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