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Dealing with Semantic Heterogeneity Issues on the Web
PrePrint
ISSN: 1089-7801
Jorge Gracia, Universidad Politécnica de Madrid, Boadilla del Monte
Eduardo Mena, University of Zaragoza, Zaragoza
The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers. To accomplish its goals, mechanisms are required to make explicit the semantics of Web resources, to be automatically processed by software agents (this semantics being described by means of online ontologies). Nevertheless, issues arise caused by the semantic heterogeneity that naturally happens on the Web, namely redundancy and ambiguity. For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured) context in which they appear. To that end, we have developed novel ontology matching, clustering, and disambiguation techniques. Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction.
Index Terms:
mobile computing, Web, ontologies, Global information systems, Distributed heterogeneous databases, agent technology, C.2.4.c Distributed databases, multiagent systems, agents, I.2.12 Intelligent Web Services and Semantic Web, I.2.11.d Multiagent systems, I.2.11.b Intelligent agents, H.2.8.a Bioinformatics (genome or protein) databases, H.2.5 Heterogeneous Databases, H.2.4.d Distributed databases, I.2.13.i Knowledge reuse, I.2.12.d Ontology languages < I.2.12 Intelligent Web Services and Semantic Web < I.2 Artificial Intelligence < I Computing Metho,
Citation:
Jorge Gracia, Eduardo Mena, "Dealing with Semantic Heterogeneity Issues on the Web," IEEE Internet Computing, 08 Sept. 2011. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MIC.2011.129>
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