• DocumentCode
    2025278
  • Title

    Collaborative Process Deduction through a Knowledge-Based System

  • Author

    Benaben, Frederick ; Pingaud, Herve ; Rajsiri, Vatcharaphun ; Lorre, Jean-Pierre

  • Author_Institution
    Mines ALBI, Univ. de Toulouse, Albi, France
  • fYear
    2011
  • fDate
    Aug. 29 2011-Sept. 2 2011
  • Firstpage
    503
  • Lastpage
    507
  • Abstract
    This paper presents an ontology-based approach for the design of a Collaborative Business Process model (CBP). The study is part of a model driven engineering approach of mediation information systems. We developed a Knowledge-Based System (KBS), which is composed of three main parts: knowledge gathering, knowledge representation & reasoning, and collaborative business process modeling. The knowledge gathering part starts from a high abstraction level where knowledge from business partners is captured. As a result a Collaboration Ontology (CO) is defined in order to provide a structure to store and use the captured knowledge. In parallel, we try to reuse generic existing knowledge about business processes from the MIT Process Handbook repository. This result in a Collaboration Process Ontology (CPO) described in this paper. The relationship between concepts of both CO and CPO are also described in order to introduce a justification to the set of transformation rules (not described in this article) that are used in the full approach in order to extract knowledge to build the CBP model.
  • Keywords
    business data processing; groupware; inference mechanisms; information systems; knowledge based systems; ontologies (artificial intelligence); MIT process handbook repository; collaboration process ontology; collaborative business process model; collaborative process deduction; knowledge gathering; knowledge representation; knowledge-based system; mediation information systems; model driven engineering approach; ontology-based approach; reasoning; Collaboration; Collaborative work; Knowledge based systems; Ontologies; Organizations; Topology; Collaborative process; knowledge-based system; model transformation; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
  • Conference_Location
    Toulouse
  • ISSN
    1529-4188
  • Print_ISBN
    978-1-4577-0982-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2011.100
  • Filename
    6059867