• DocumentCode
    613940
  • Title

    ARISTOTELE: A Semantic-Driven Platform for Enterprise Management

  • Author

    Del Nostro, Pierluigi ; Orciuoli, Francesco ; Paolozzi, S. ; Ritrovato, Pierluigi ; Toti, D.

  • Author_Institution
    Res. Center in Pure & Appl. Math. (CRMPA), MOMA S.p.A., Salerno, Italy
  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    We present the architecture of the ARISTOTELE platform, a semantic-based collaborative system for managing enterprises and organizations, specifically designed to include a variety of features. These range from top-level functionalities like managing enterprise processes and building innovation, to finer-grained tasks like customized support for the daily activities of workers, including the creation and execution of personalized learning activities via an adaptive/non-adaptive strategy and the acquisition and usage of collaborative knowledge by the members of the organization. Here, we motivate ARISTOTELE´s compliance with a known Enterprise Architecture framework and describe the design methodology behind the platform and its building blocks, beginning with its data layer and then proceeding to detailing its core services and the higher-level tools built on top of them.
  • Keywords
    business data processing; groupware; ARISTOTELE platform; enterprise architecture framework; enterprise management; organization management; personalized learning activity; semantic-based collaborative system; semantic-driven platform; Collaboration; Computer architecture; Organizations; Semantics; Service-oriented architecture; Standards organizations; Collaboration; Human Resource Management; Innovation; Knowledge Management; Learning; Semantic Enterprise architecture; Training; knowledge models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-6239-9
  • Electronic_ISBN
    978-0-7695-4952-1
  • Type

    conf

  • DOI
    10.1109/WAINA.2013.43
  • Filename
    6550371