Semantic Heterogeneity Issues on the Web

Gracia, Jorge and Mena, Eduardo (2012). Semantic Heterogeneity Issues on the Web. "IEEE Internet Computing", v. 16 (n. 5); pp. 60-67. ISSN 1089-7801.


Title: Semantic Heterogeneity Issues on the Web
  • Gracia, Jorge
  • Mena, Eduardo
Item Type: Article
Title of Book: IEEE Internet Computing
Título de Revista/Publicación: IEEE Internet Computing
Date: October 2012
ISBN: 1089-7801
Volume: 16
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: oeg
Creative Commons Licenses: None

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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.

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Item ID: 14460
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Deposited by: Dr Oscar Corcho
Deposited on: 12 Feb 2013 15:44
Last Modified: 21 Apr 2016 14:09
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