Dealing with Semantic Heterogeneity Issues on the Web

Gracia del Río, Jorge and Mena, Eduardo (2011). Dealing with Semantic Heterogeneity Issues on the Web. "IEEE Internet Computing" ; pp. 1-10. ISSN 1089-7801. https://doi.org/10.1109/MIC.2011.129.

Description

Title: Dealing with Semantic Heterogeneity Issues on the Web
Author/s:
  • Gracia del Río, Jorge
  • Mena, Eduardo
Item Type: Article
Título de Revista/Publicación: IEEE Internet Computing
Date: September 2011
ISSN: 1089-7801
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Lingüistica Aplicada a la Ciencia y a la Tecnología
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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

More information

Item ID: 11396
DC Identifier: http://oa.upm.es/11396/
OAI Identifier: oai:oa.upm.es:11396
DOI: 10.1109/MIC.2011.129
Official URL: http://doi.ieeecomputersociety.org/10.1109/MIC.2011.129
Deposited by: Memoria Investigacion
Deposited on: 30 Jul 2012 07:37
Last Modified: 20 Apr 2016 19:29
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