In: Computing and Informatics, vol. 26, no. 3
V. Svátek - M. Vacura - A. Ten Teije
Details:
Year, pages: 2007, 255 - 279
Keywords:
web services, web mining, problem-solving methods, ontologies
About article:
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, ontology-based
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.
How to cite:
ISO 690:
Svátek, V., Vacura, M., Ten Teije, A. 2007. Modelling Web Service Composition for Deductive Web Mining. In Computing and Informatics, vol. 26, no.3, pp. 255-279. 1335-9150.
APA:
Svátek, V., Vacura, M., Ten Teije, A. (2007). Modelling Web Service Composition for Deductive Web Mining. Computing and Informatics, 26(3), 255-279. 1335-9150.