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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Espinoza, M. Mena, E. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Zaragoza, Zaragoza (Espinoza, M.; Mena, E.) |
| 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. |
| Starting Page | 725 |
| Ending Page | 730 |
| File Size | 287611 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424408504 |
| ISSN | 19354576 |
| DOI | 10.1109/INDIN.2007.4384863 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-06-23 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantic Web Software design Web services Operating systems Statistical distributions Software performance Ontologies Computer industry Software systems Application software |
| Content Type | Text |
| Resource Type | Article |
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