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Ranking-Based Suggestion Algorithms for Semantic Web Service Composition
| Citations: | 2 - 1 self |
BibTeX
@MISC{Wang_ranking-basedsuggestion,
author = {Rui Wang and Sumedha Ganjoo and John A. Miller and Eileen T. Kraemer},
title = {Ranking-Based Suggestion Algorithms for Semantic Web Service Composition},
year = {}
}
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Abstract
The process of selecting Web services from a large number of potential Web services available on the Web is a challenging task for users engaged in Web service composition. Our work is devoted to resolving this issue by suggesting Web services to the user. Our suggestion algorithm ranks all the available services for the user based on the semantic annotations of a service’s inputs, outputs and functionality, as well as pre-conditions and effects, if available. This paper presents multiple algorithms for making suggestions during Web service composition. These algorithms extend traditional Web service discovery algorithms; in particular, they include new techniques for ranking the effectiveness of data mediation. Keywords: Ranking-based suggestion, Path ranking, Web service composition, Data mediation, Similarity
Keyphrases
web service composition semantic web service composition ranking-based suggestion algorithm data mediation web service semantic annotation new technique multiple algorithm path ranking ranking-based suggestion service input available service large number traditional web service discovery algorithm challenging task potential web service
