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The iSeM Matchmaker: A Flexible Approach For Adaptive Hybrid Semantic Service Selection

18 Pages Posted: 7 Jul 2018 Publication Status: Accepted

See all articles by Matthias Klusch

Matthias Klusch

University of Kaiserslautern - German Research Center for Articial Intelligence (DFKI)

Patrick Kapahnke

University of Kaiserslautern - German Research Center for Articial Intelligence (DFKI)

Abstract

We present iSeM (intelligent Service Matchmaker), a precise hybrid and adaptive matchmaker for semantic Web services, which exploits functional service descriptions in terms of logical signature annotations as well as specifications of preconditions and effects. In particular, besides well-known strict logical matching filters and non-logic-based textual and structural signature matching, it adopts approximated reasoning based on logical concept abduction and contraction for the description logic subset SH with information-theoretic valuation for matching inputs and outputs. In addition, it uses a stateless logical specification matching approach, which applies the incomplete but decidable θ-subsumption algorithm for preconditions and effects. The optimal aggregation strategy of all those aspects is learned off-line by means of a binary SVM-based service relevance classifier in combination with evidential coherence-based pruning to improve ranking precision with respect to false classification of any such variant on its own. We demonstrate the additional benefit of the presented approximation and the adaptive hybrid combination by example and by presenting an experimental performance analysis.

Keywords: Semantic Web, Semantic Service Selection, Adaptive Matchmaking

Suggested Citation

Klusch, Matthias and Kapahnke, Patrick, The iSeM Matchmaker: A Flexible Approach For Adaptive Hybrid Semantic Service Selection (2012). Journal of Web Semantics First Look 15_3_1, Available at SSRN: https://ssrn.com/abstract=3198964 or http://dx.doi.org/10.2139/ssrn.3198964

Matthias Klusch (Contact Author)

University of Kaiserslautern - German Research Center for Articial Intelligence (DFKI) ( email )

Paul-Ehrlich-Straße 14
Campus D3_2
Kaiserslautern, D-66123
Germany

Patrick Kapahnke

University of Kaiserslautern - German Research Center for Articial Intelligence (DFKI) ( email )

Paul-Ehrlich-Straße 14
Campus D3_2
Kaiserslautern, D-66123
Germany

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