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Vatcharaphun Rajsiri

Présent : NON
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  • Axe 1 : IO
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Publications significatives

  • Knowledge-based system for collaborative process specification

    Références :
    Vatcharaphun Rajsiri, Jean-Pierre Lorré, Frédérick Bénaben et Hervé Pingaud. « Knowledge-based system for collaborative process specification ». In : Computers in Industry 61.2 (févr. 2010). P. 161--175. ISSN : 0166-3615. DOI : 10.1016/j.compind.2009.10.012.
    This paper presents an ontology-based approach for the design of a collaborative business process model (CBP). This CBP is considered as a specification of needs in order to build a collaboration information system (CIS) for a network of organizations. The study is a part of a model-driven engineering approach of the CIS in a specific enterprise interoperability framework that will be summarised. An adaptation of the Business Process Modelling Notation (BPMN) is used to represent the CBP model. We develop a knowledge-based system (KbS) which is composed of three main parts: knowledge gathering, knowledge representation and reasoning, and collaborative business process modelling. The first part starts from a high abstraction level where knowledge from business partners is captured. A collaboration ontology is defined in order to provide a structure to store and use the knowledge captured. In parallel, we try to reuse generic existing knowledge about business processes from the MIT Process Handbook repository. This results in a collaboration process ontology that is also described. A set of rules is defined in order to extract knowledge about fragments of the CBP model from the two previous ontologies. These fragments are finally assembled in the third part of the KbS. A prototype of the KbS has been developed in order to implement and support this approach. The prototype is a computer-aided design tool of the CBP. In this paper, we will present the theoretical aspects of each part of this KbS as well as the tools that we developed and used in order to support its functionalities. (C) 2009 Elsevier B.V. All rights reserved.
    Keywords: Collaborative process, Deduction rules, Interoperability of information systems, Model-driven architecture, Ontology