Authors:
Simone A. Ludwig
1
and
S.M.S. Reyhani
2
Affiliations:
1
School of Computer Science, Cardiff University, United Kingdom
;
2
Brunel University, United Kingdom
Keyword(s):
Context information, Semantics, Ontology, Web Service Discovery.
Related
Ontology
Subjects/Areas/Topics:
Communication and Software Infrastructure
;
e-Business
;
e-Commerce and e-Business: B2B and B2C
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Global Communication Information Systems and Services
;
Information and Systems Security
;
Internet Services and Applications
;
Software Engineering
;
Telecommunications
;
Web and Mobile Business Systems and Services
;
Web Technologies and Web Services
Abstract:
Automatic discovery of services is a crucial task for the e-Science and e-Business communities. Finding a suitable way to address this issue has become one of the key points to convert the Web into a distributed source of computation, as they enable the location of distributed services to perform a required functionality. To provide such an automatic location, the discovery process should be based on a semantic match between a declarative description of a service being sought and a description being offered. This problem requires not only an algorithm to match these descriptions, but also a language to declaratively express the capabilities of services. This paper presents a context-aware ontology selection framework which allows an increase in precision of the retrieved results by taking contextual information into account.