• DocumentCode
    127669
  • Title

    A PaaS to Support Collaborations through Service Composition

  • Author

    Montarnal, Aurelie ; Delanoe, Anne Marie Barthe ; Benaben, Frederick ; Lauras, Matthieu ; Lamothe, Jacques

  • Author_Institution
    Mines Albi, Univ. of Toulouse, Albi, France
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    677
  • Lastpage
    684
  • Abstract
    The French project OpenPaaS aims at providing a social platform to help companies initiating and managing their collaborations. Nowadays, data exchange is no sufficient and collaborations need to be supported for every interaction between the actors of the collaboration. This paper concerns a PaaS in charge of supporting the deduction of collaborative business processes that involve subscribing organizations of the PaaS. In order to be applicable to industrial needs, the process deduction should require the minimum knowledge from users: collaborative objectives and a repository of all the capabilities made available by the subscribing organizations. Functional and non-functional gaps are filled simultaneously when building the process: (i) a collaborative ontology allows finding sets of capacities able to achieve the collaborative objectives and (ii) a non-functional assessment builds the optimal process i.e. the sequences of activities and also the set of partners with their corresponding capabilities. This article focuses on the first point and brings a methodology based on semantics to deduce a collaborative process.
  • Keywords
    Web services; cloud computing; groupware; ontologies (artificial intelligence); French project OpenPaaS; collaborative business processes; collaborative objectives; collaborative ontology; collaborative process; companies; industrial needs; nonfunctional assessment; nonfunctional gaps; optimal process; process deduction; service composition; social platform; subscribing organizations; Collaboration; Ontologies; Organizations; Semantics; Standards organizations; Unified modeling language; business process management deduction; inter-organizational collaboration; ontology; service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2014 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5065-2
  • Type

    conf

  • DOI
    10.1109/SCC.2014.94
  • Filename
    6930595