DocumentCode
2941825
Title
An Agent-based Semantic Web Service Discovery Framework
Author
Neiat, Azadeh Ghari ; Mohsenzadeh, Mehran ; Forsati, Rana ; Rahmani, Amir Masoud
Author_Institution
Dept. of Comput. Eng., Islamic Azad Univ. North Tehran Branch, Tehran
fYear
2009
fDate
20-22 Feb. 2009
Firstpage
194
Lastpage
198
Abstract
Web services have changed the Web from a database of static documents to a service provider. To improve the automation of Web services interoperation, a lot of technologies are recommended, such as semantic Web services and agents. In this paper we propose a framework for semantic Web service discovery based on semantic Web services and FIPA multi agents. This paper provides a broker which provides semantic interoperability between semantic Web service provider and agents by translating WSDL to DF description for semantic Web services and DF description to WSDL for FIPA multi agents. We describe how the proposed architecture analyzes the request and match search query. The ontology management in the broker creates the user ontology and merges it with general ontology (i.e. WordNet, Yago, Wikipedia ...). We also describe the recommendation component that recommends the WSDL to Web service provider to increase their retrieval probability in the related queries.
Keywords
Web services; multi-agent systems; ontologies (artificial intelligence); query processing; semantic Web; FIPA multiagents; WSDL; agent-based semantic Web service discovery framework; ontology management; search query; semantic interoperability; service provider; static documents database; Business communication; Communication standards; Context-aware services; Data engineering; Ontologies; Semantic Web; Software agents; Software standards; Web and internet services; Web services; Semantic Web services; Web service discovery; multi agent system; user ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation, 2009. ICCMS '09. International Conference on
Conference_Location
Macau
Print_ISBN
978-0-7695-3562-3
Electronic_ISBN
978-1-4244-3561-6
Type
conf
DOI
10.1109/ICCMS.2009.75
Filename
4797381
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