DocumentCode
2772083
Title
Ontology Driven Approach Enhancing Business Services Orchestration
Author
Krupaviciute, Asta ; Fayn, Jocelyne
Author_Institution
INSA de Lyon, Univ. de Lyon 1, Bron, France
fYear
2010
fDate
28-30 July 2010
Firstpage
344
Lastpage
348
Abstract
As knowledge is usually heterogeneous, voluminous, poorly structured and steadily evolving, its automated use in practice is extremely difficult. These limitations remain the main blocking element for creating advanced, adaptive business processes providing intelligent assistance. In this paper we propose to extend the typical business process development view, mainly focusing on services composition, with a business intelligence view which aims to support the design of complex, automatically reconfigurable services. To fulfil this objective, we designed an approach that consists in setting up an intelligent environment based on a context-aware concepts ontology of business processes and on related context handling rules for services orchestration. It´s a generic method that enables to capture and to granulate the knowledge into a set of models that support dynamic business processes management. We demonstrate the relevance of this approach for the design of automatic and personalised decision support services orchestration based on a core ontology.
Keywords
business data processing; competitive intelligence; decision support systems; ontologies (artificial intelligence); business intelligence view; business process development view; business services orchestration; context handling rules; context-aware concepts ontology; decision support services orchestration; dynamic business processes management; ontology driven approach; services composition; business processes; model driven architecture; ontology-based approach; web services orchestration;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on
Conference_Location
Liverpool
Print_ISBN
978-1-4244-7837-8
Electronic_ISBN
978-0-7695-4158-7
Type
conf
DOI
10.1109/CICSyN.2010.33
Filename
5616401
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