ENHANCED DISCOVERY OF WEB SERVICES - Using Semantic Context Descriptions

Simone A. Ludwig, S.M.S. Reyhani

2005

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.

References

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Paper Citation


in Harvard Style

A. Ludwig S. and Reyhani S. (2005). ENHANCED DISCOVERY OF WEB SERVICES - Using Semantic Context Descriptions . In Proceedings of the Second International Conference on e-Business and Telecommunication Networks - Volume 1: ICETE, ISBN 972-8865-32-5, pages 193-196. DOI: 10.5220/0001407501930196


in Bibtex Style

@conference{icete05,
author={Simone A. Ludwig and S.M.S. Reyhani},
title={ENHANCED DISCOVERY OF WEB SERVICES - Using Semantic Context Descriptions},
booktitle={Proceedings of the Second International Conference on e-Business and Telecommunication Networks - Volume 1: ICETE,},
year={2005},
pages={193-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001407501930196},
isbn={972-8865-32-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on e-Business and Telecommunication Networks - Volume 1: ICETE,
TI - ENHANCED DISCOVERY OF WEB SERVICES - Using Semantic Context Descriptions
SN - 972-8865-32-5
AU - A. Ludwig S.
AU - Reyhani S.
PY - 2005
SP - 193
EP - 196
DO - 10.5220/0001407501930196