Title :
Discovering Web Services Using Semantic Keywords
Author :
Espinoza, Mauricio ; Mena, Eduardo
Author_Institution :
Univ. of Zaragoza, Zaragoza
Abstract :
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.
Keywords :
Web services; ontologies (artificial intelligence); semantic Web; Web services discovery; ontology matching process; semantic keywords; semantic service description; subsumption reasoning algorithm; Application software; Computer industry; Ontologies; Operating systems; Semantic Web; Software design; Software performance; Software systems; Statistical distributions; Web services;
Conference_Titel :
Industrial Informatics, 2007 5th IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-0851-1
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2007.4384863