• DocumentCode
    2965837
  • Title

    ESProNa: Constraint-Based Declarative Business Process Modeling

  • Author

    Igler, Michael ; Moura, Pedro ; Zeising, Michael ; Jablonski, Stefan

  • Author_Institution
    Dept. of Appl. Comput. Sci., Univ. of Bayreuth, Bayreuth, Germany
  • fYear
    2010
  • fDate
    25-29 Oct. 2010
  • Firstpage
    91
  • Lastpage
    98
  • Abstract
    In this paper we describe how declarative process modeling together with ontologies can be used to build complex clinical process models. Our approach supports the definition of functional, behavioral, organizational, data and operational process perspectives, resulting in an expressive and flexible modeling language. We use constraints for representing inter-process dependencies and constraint propagation for finding which processes are executable in user selected or given scenarios. Knowledge about the organizational perspective of a clinical ontology can be represented and imported from RDF files for interfacing with other applications. We implemented our approach in ESProNa, a Log talk application running on SWI-Prolog extended with the CLP(FD) constraint library and the N3 parser Henry.
  • Keywords
    PROLOG; constraint handling; grammars; medical administrative data processing; ontologies (artificial intelligence); ESProNa application; Henry N3 parser; SWI-PROLOG; clinical ontology; clinical process models; constraint library; constraint propagation; constraint-based declarative business process modeling; declarative process modeling; ontologies; Biological system modeling; Business; Computer science; History; Medical services; Planning; Visualization; declarative process modeling; executable process specification language; process constraints; process knowledge representation and visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2010 14th IEEE International
  • Conference_Location
    Vitoria
  • Print_ISBN
    978-1-4244-7965-8
  • Type

    conf

  • DOI
    10.1109/EDOCW.2010.10
  • Filename
    5628978