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A Caching Mechanism for Semantic Web Service Discovery

  • Michael Stollberg
  • Martin Hepp
  • Jörg Hoffmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4825)

Abstract

The discovery of suitable Web services for a given task is one of the central operations in Service-oriented Architectures (SOA), and research on Semantic Web services (SWS) aims at automating this step. For the large amount of available Web services that can be expected in real-world settings, the computational costs of automated discovery based on semantic matchmaking become important. To make a discovery engine a reliable software component, we must thus aim at minimizing both the mean and the variance of the duration of the discovery task. For this, we present an extension for discovery engines in SWS environments that exploits structural knowledge and previous discovery results for reducing the search space of consequent discovery operations. Our prototype implementation shows significant improvements when applied to the Stanford SWS Challenge scenario and dataset.

Keywords

Functional Description Cache Mechanism Usability Degree Goal Graph Subsumption Hierarchy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Michael Stollberg
    • 1
  • Martin Hepp
    • 1
  • Jörg Hoffmann
    • 1
  1. 1.Digital Enterprise Research Institute (DERI), University of InnsbruckAustria

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