• DocumentCode
    20816
  • Title

    A Formalism and Method for Representing and Reasoning with Process Models Authored by Subject Matter Experts

  • Author

    Gomez-Perez, Jose Manuel ; Erdmann, Michael ; Greaves, Mark ; Corcho, Oscar

  • Author_Institution
    iSOCO S.A., Madrid, Spain
  • Volume
    25
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1933
  • Lastpage
    1945
  • Abstract
    Enabling Subject Matter Experts (SMEs) to formulate knowledge without the intervention of Knowledge Engineers (KEs) requires providing SMEs with methods and tools that abstract the underlying knowledge representation and allow them to focus on modeling activities. Bridging the gap between SME-authored models and their representation is challenging, especially in the case of complex knowledge types like processes, where aspects like frame management, data, and control flow need to be addressed. In this paper, we describe how SME-authored process models can be provided with an operational semantics and grounded in a knowledge representation language like F-logic to support process-related reasoning. The main results of this work include a formalism for process representation and a mechanism for automatically translating process diagrams into executable code following such formalism. From all the process models authored by SMEs during evaluation 82 percent were well formed, all of which executed correctly. Additionally, the two optimizations applied to the code generation mechanism produced a performance improvement at reasoning time of 25 and 30 percent with respect to the base case, respectively.
  • Keywords
    formal logic; inference mechanisms; knowledge representation; program compilers; F-logic; SME-authored models; SME-authored process models; code generation mechanism; control flow; data flow; frame management; knowledge engineers; knowledge formulation; knowledge representation language; operational semantics; process diagram translation; process model reasoning; process model representing; process representation; process-related reasoning; subject matter experts; Cognition; DNA; Data models; Knowledge acquisition; Knowledge based systems; Knowledge representation; Process control; Process knowledge representation; reasoning; subject matter experts;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2012.127
  • Filename
    6226402