Modelling web service composition for deductive web mining

Vojtěch Svátek*, Miroslav Vacura, Martin Labský, Annette Ten Teije

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Composition of simpler web services into custom applications is understood as promising technique for information requests in a heterogeneous and changing environment. This is also relevant for applications characterised as deductive web mining (DWM). We suggest to use problem-solving methods (PSMs) as templates for composed services, We developed a multi-dimensional, ontologybased framework, and a collection of PSMs, which enable to characterise DWM applications at an abstract level; we describe several existing applications in this framework. We show that the heterogeneity and unboundedness of the web demands for some modifications of the PSM paradigm used in the context of traditional artificial intelligence. Finally, as simple proof of concept, we simulate automated DWM service composition on a small collection of services, PSM-based templates, data objects and ontological knowledge, all implemented in Prolog.

Original languageEnglish
Pages (from-to)255-279
Number of pages25
JournalComputing and Informatics
Volume26
Issue number3
Publication statusPublished - 2007

Keywords

  • Ontologies
  • Problem-solving methods
  • Web mining
  • Web services

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