Title
Modelling Web Service Composition For Deductive Web Mining
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, 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.
Year
Venue
Keywords
2007
COMPUTING AND INFORMATICS
web services, web mining, problem-solving methods, ontologies
Field
DocType
Volume
Web intelligence,Web mining,Software engineering,Computer science,Web standards,Data Web,Semantic Web,Theoretical computer science,Web modeling,Web service,WS-Policy,Database
Journal
26
Issue
ISSN
Citations 
3
1335-9150
0
PageRank 
References 
Authors
0.34
9
4
Name
Order
Citations
PageRank
Vojtech Svátek128446.24
Miroslav Vacura214916.28
martin labský300.34
Annette Ten Teije472767.34