Title :
Supply Chain Model for Personalized Car Web Services Discovery
Author :
Rahman, M. Alade ; Longe, H.O.D. ; Nawaz, Falak ; Ahmad, H. Farooq
Author_Institution :
Dept. of Comput. Sci., Univ. of Lagos, Lagos
Abstract :
The XML standard adopted for the interoperability among Web services had played prominent role in enhancing systems/application integration and also facilitates linking up clientpsilas demands through loosely couple platform. However, the use of this technology has a major disadvantage of lacking in semantic representations of the contents in the Web and makes the service discovery scheme of the UDDI inefficient. Adding semantic features to Web services has a long role to play in facilitating automatic publishing, discovery, composition, and usage of these numerous services available on the Web which are dynamically published and discovered. In this paper, we applied the use of semantic registry-based system meant for personalizing car Web services´ discovery. We maintained an OWL-based ontology for the car service together with a catalogue that keeps track of the published services for easy discovery. The semantic registry-based approach enhances the service discovery and guarantees quality of service by ensuring satisfaction of userpsilas requests which Web service personalization is meant to achieve.
Keywords :
Web services; XML; ontologies (artificial intelligence); open systems; supply chain management; OWL-based ontology; XML standard; interoperability; personalized car Web services discovery; quality of service; semantic registry-based approach; supply chain model; system-application integration; Application software; Asia; Computational modeling; Computer science; Computer simulation; Quality of service; Supply chain management; Supply chains; Web services; XML; Data Integration; Multi-Agent System; Semantic Web; Supply Chain Management; User Modelling;
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
DOI :
10.1109/AMS.2009.108