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arXiv 1502.02840cs.AIcs.SE
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An Integrated Semantic Web Service Discovery and Composition Framework

Centro de Investigación en Tecnoloxías da Información (CiTIUS), Universidade de Santiago de Compostela(圣地亚哥-德孔波斯特拉大学信息技术研究中心(CiTIUS));The Open University(开放大学)

Pablo Rodriguez-Mier, Carlos Pedrinaci, Manuel Lama, Manuel Mucientes

英文摘要:

In this paper we present a theoretical analysis of graph-based service composition in terms of its dependency with service discovery. Driven by this analysis we define a composition framework by means of integration with fine-grained I/O service discovery that enables the generation of a graph-based composition which contains the set of services that are semantically relevant for an input-output request. The proposed framework also includes an optimal composition search algorithm to extract the best composition from the graph minimising the length and the number of services, and different graph optimisations to improve the scalability of the system. A practical implementation used for the empirical analysis is also provided. This analysis proves the scalability and flexibility of our proposal and provides insights on how integrated composition systems can be designed in order to achieve good performance in real scenarios for the Web.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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