Cooperative service composition

Nikolay Mehandjiev; Freddy Lécué; Martin Carpenter; Fethi A. Rabhi

doi:10.1007/978-3-642-31095-9_8

Cooperative service composition

Nikolay Mehandjiev, Freddy Lécué, Martin Carpenter, Fethi A. Rabhi

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Traditional service composition approaches are top-down(using domain knowledge to break-down the desired functionality), or bottom-up (using planning techniques). The former rely on available problem decomposition knowledge, whilst the latter rely on the availability of a known set of services, otherwise automatic composition has been considered impossible. We address this by proposing a third approach: Cooperative Service Composition (CSC),inspired by the way organisations come together in consortia to deliver services. CSC considers each service provider as proactive in service composition, and provides a semantics-based mechanism allowing innovative service compositions to emerge as result of providers' interactions. The key challenges we resolve are how to determine if a contribution brings the composition closer to its goal, and how to limit the number of possible solutions. In this paper we describe the approach and the solutions to the two key challenges, and demonstrate their application to the composition of financial web services. © 2012 Springer-Verlag Berlin Heidelberg.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	111-126
Number of pages	15
Volume	7328
DOIs	https://doi.org/10.1007/978-3-642-31095-9_8
Publication status	Published - 2012
Event	24th International Conference on Advanced Information Systems Engineering, CAiSE 2012 - Gdansk Duration: 1 Jul 2012 → …

Other

Other	24th International Conference on Advanced Information Systems Engineering, CAiSE 2012
City	Gdansk
Period	1/07/12 → …

Keywords

semantic services
service composition
software agents

Access to Document

10.1007/978-3-642-31095-9_8

Cite this

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title = "Cooperative service composition",

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Mehandjiev, N, Lécué, F, Carpenter, M & Rabhi, FA 2012, Cooperative service composition. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 7328, Springer Nature, pp. 111-126, 24th International Conference on Advanced Information Systems Engineering, CAiSE 2012, Gdansk, 1/07/12. https://doi.org/10.1007/978-3-642-31095-9_8

Cooperative service composition. / Mehandjiev, Nikolay; Lécué, Freddy; Carpenter, Martin et al.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 7328 Springer Nature, 2012. p. 111-126.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Cooperative service composition

AU - Mehandjiev, Nikolay

AU - Lécué, Freddy

AU - Carpenter, Martin

AU - Rabhi, Fethi A.

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AB - Traditional service composition approaches are top-down(using domain knowledge to break-down the desired functionality), or bottom-up (using planning techniques). The former rely on available problem decomposition knowledge, whilst the latter rely on the availability of a known set of services, otherwise automatic composition has been considered impossible. We address this by proposing a third approach: Cooperative Service Composition (CSC),inspired by the way organisations come together in consortia to deliver services. CSC considers each service provider as proactive in service composition, and provides a semantics-based mechanism allowing innovative service compositions to emerge as result of providers' interactions. The key challenges we resolve are how to determine if a contribution brings the composition closer to its goal, and how to limit the number of possible solutions. In this paper we describe the approach and the solutions to the two key challenges, and demonstrate their application to the composition of financial web services. © 2012 Springer-Verlag Berlin Heidelberg.

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EP - 126

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.

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Cooperative service composition

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Keywords

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