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