DocumentCode
3280932
Title
CxQWS: Context-aware Quality Semantic Web Service
Author
Adel, Alti ; Abbdellah, Boukerram
Author_Institution
Comput. Sci. Dept., Univ. of Setif, Setif, Algeria
fYear
2010
fDate
3-5 Oct. 2010
Firstpage
69
Lastpage
76
Abstract
The tourism services are vital for the economic health of both developed and developing countries. Although the tourism services in a mobile environment have a critical role in creating tourist satisfaction, they are neither a uniform group, nor able to give consistently high service quality. Indeed they have significantly different platforms and a variety of heterogeneous service providers which make the management of service qualities complex. This complexity is clearly noticeable when a given service is provided by two or more providers, within the same area of the mobile clients; a decision should be made to select the most appropriate service based on contextual description with the best QoS. This paper proposes a novel web management system that allows for considering quality and context-awareness while discovering and selecting web service. The main idea of the proposed web service oriented architecture consists in the ontology Context-aware Quality Semantic Web Service called (CxQWS). At the first step, services are defined as set of semantic metadata, which reflect service requirements and QoS parameters. At the second step, services with a semantic contextual metadata are elaborated. Such a procedure ensures that the selection decisions should be based on the semantic quality representation of the created services.
Keywords
Web services; ontologies (artificial intelligence); travel industry; ubiquitous computing; Web management system; context awareness; ontology context; quality of service; quality semantic Web service; semantic metadata; tourism services; Context; Mobile communication; Ontologies; Protocols; Quality of service; Semantics; Web services; context matching; context-aware; quality of service; selection of services;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine and Web Intelligence (ICMWI), 2010 International Conference on
Conference_Location
Algiers
Print_ISBN
978-1-4244-8608-3
Type
conf
DOI
10.1109/ICMWI.2010.5648032
Filename
5648032
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