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2017 | OriginalPaper | Buchkapitel

Comprehensive Quality-Aware Automated Semantic Web Service Composition

verfasst von : Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann

Erschienen in: AI 2017: Advances in Artificial Intelligence

Verlag: Springer International Publishing

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Abstract

Web service composition has been a prevailing research direction in recent years. There are two major challenges faced by researchers, semantic matchmaking and Quality of Service (QoS) optimisation. Semantic matchmaking aims to discover interoperable web services that can interact with each other by their resources described semantically. QoS optimisation aims to optimise the non-functional requirements of service users, such as minimum cost and maximum reliability. To meet the requirements of service users, both semantic matchmaking quality and QoS should be considered simultaneously. Most existing works on web service composition, however, focus only on one of these two aspects. Therefore, we propose a comprehensive quality model that takes both semantic matchmaking quality and QoS into account with the aim of achieving a more desirable balance of both sides. Further, we develop a PSO-based service composition approach with explicit support for the proposed comprehensive quality model. We also conduct experiments to explore the effectiveness of our PSO-based approach and the desirable balance achieved by using our comprehensive quality model.

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Titel: Comprehensive Quality-Aware Automated Semantic Web Service Composition
verfasst von: Chen Wang
Hui Ma
Aaron Chen
Sven Hartmann
Verlag: Springer International Publishing
Buch: AI 2017: Advances in Artificial Intelligence
Print ISBN: 978-3-319-63003-8

Electronic ISBN: 978-3-319-63004-5

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-63004-5_16

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