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Computer Science > Artificial Intelligence

arXiv:1502.02840 (cs)
[Submitted on 10 Feb 2015]

Title:An Integrated Semantic Web Service Discovery and Composition Framework

Authors:Pablo Rodriguez-Mier, Carlos Pedrinaci, Manuel Lama, Manuel Mucientes
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Abstract: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.
Comments: Accepted to appear in IEEE Transactions on Services Computing 2015
Subjects: Artificial Intelligence (cs.AI); Software Engineering (cs.SE)
Cite as: arXiv:1502.02840 [cs.AI]
  (or arXiv:1502.02840v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.1502.02840
Related DOI: https://doi.org/10.1109/TSC.2015.2402679

Submission history

From: Pablo Rodriguez-Mier [view email]
[v1] Tue, 10 Feb 2015 10:25:33 UTC (411 KB)
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Carlos Pedrinaci
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Manuel Mucientes
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