DocumentCode :
1810744
Title :
An Ontology to Support Context-Aware B2B Services
Author :
Tan, P.S. ; Goh, A.E.S. ; Lee, S.S.G.
Author_Institution :
Planning & Oper. Manage. Group, Singapore Inst. of Manuf. Technol., Singapore, Singapore
fYear :
2010
fDate :
5-10 July 2010
Firstpage :
586
Lastpage :
593
Abstract :
In present day globalised trade, the ability to support collaboration through B2B (Business-to-Business) services is crucial. One of the key challenges is to pervasively connect partners across the entire value chain, with the appropriate service offerings. Thus, it is vital to quickly identify potential partners to form new B2B collaborations or to support formed collaborations with swift decision making abilities. This paper proposes the use of Description Logic (DL) based reasoning to ensure completeness and decidability in reasoning for context-aware B2B services. A B2B Context Model is realised through a DL-based representation language called OWL (Web Ontology Language). The expressivity of OWL was extended through the SWRL (Semantic Web Rule Language), to represent business rules identified in the model. The performance scalability of an ontology-based knowledge base using OWL was then investigated. Results showed that such a knowledge base is not scalable.
Keywords :
commerce; decision making; groupware; inference mechanisms; knowledge representation languages; ontologies (artificial intelligence); ubiquitous computing; B2B collaborations; Web ontology language; context aware B2B services; decision making; description logic; ontology; reasoning; semantic Web rule language; value chain; Business; Cognition; Context; Context modeling; Knowledge based systems; OWL; Ontologies; SOA; context-aware; ontology; services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2010 IEEE International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-8147-7
Electronic_ISBN :
978-0-7695-4126-6
Type :
conf
DOI :
10.1109/SCC.2010.43
Filename :
5557281
Link To Document :
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