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Strategic Composition of Semantic Web Services Using SLAKY Composer

  • P. Sandhya
  • M. Lakshmi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 178)

Abstract

Web service composition is the process of aggregation of elementary services to build composite applications. To automate composition several algorithms based on artificial intelligence planning [1], association rule mining [2], petri net [3], case based reasoning [4], genetic algorithm [5][6], neural network [7], etc, have been proposed. However all of these methods select services that only satisfy client’s requirements and behavior [8]. In a real world scenario choosing business service partners for composition on the fly automatically is impractical and often referred to as a toy model [9]. SLAKY System is a new realistic model for selection of business service partners. SLAKY System selects services on the fly considering the vision, time planning, environmental context, user adoption, usage policies, trust management, risk management, market scenario, native intelligence, and competitive profit management of collaborating service partners apart from functionality satisfaction for client’s requirements. In this paper we focus on profit management module. We have proposed SLAKY BWG algorithm for profit management where composition is done in a competitive manner by considering service providers and agent as competitors seeking to maximize their profits by selecting strategic composition as a Non-Zero sum business war game. The execution module executes the compositions as a mixed strategy so that both the agent and service provider gains profit.

Keywords

Automatic Web Service Composition SLAKY OWL-S Upper Ontology Non-Zero sum game SLAKY Composer 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Information TechnologySathyabama UniversityChennaiIndia
  2. 2.Department of Computer Science and EngineeringSathyabama UniversityChennaiIndia

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