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Ponencias en congresos:
Discovering Web Services using Semantic Keywords
Año:2007
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
With the increasing growth in popularity of Web services, the discovery of relevant services becomes a significant challenge. In order to enhance the service discovery is necessary that both the web service description and the request for discovering a service explicitly declare their semantics. Some languages and frameworks have been developed to support rich semantic service descriptions and discover using ontology concepts. However, the manual creation of such concepts is tedious and error-prone and many users accustomed to automatic tools might not want to invert his time in obtaining this knowledge. In this paper we propose a system that assists to both service producers and service consumers in the discovery of semantic keywords which can be used to describe and discover web services respectively. First, our system enhances semantically the list of keywords extracted from the elements that comprise the description of a web service and the user keywords used for discover a service. Second, an ontology matching process is used to discovers matchings between the ontological terms of a service description and a request for service selection. Third, a subsumption reasoning algorithm tries to find service description(s) which match the user request.
Internacional
Si
Nombre congreso
5th IEEE International Conference on Industrial Informatics (INDIN-2007)
Tipo de participación
960
Lugar del congreso
Viena,Austria
Revisores
Si
ISBN o ISSN
1-4244-0864-4
DOI
Fecha inicio congreso
23/07/2007
Fecha fin congreso
27/07/2007
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Participantes
  • coautor: Eduardo Mena (Universidad de Zaragoza)
  • Autor: Jorge Mauricio Espinoza Mejía (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial
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