• DocumentCode
    508270
  • Title

    Status messages for the right audience with an ontology-based approach

  • Author

    Stankovic, Milan ; Passant, Alexandre ; Laublet, Philippe

  • Author_Institution
    LaLIC, Univ. Paris-Sorbonne, Paris, France
  • fYear
    2009
  • fDate
    11-14 Nov. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper we explore the problems of dedicating status messages to their intended audience on the Web. We present the results of our qualitative user study aimed at revealing the nature of the problem. We then present the existing solutions for directing status messages to their audience and consider their weaknesses. Then, we discuss how semantic Web technologies can be elegantly used to address the problem and what benefits can be driven from their use. Particularly, we rely on the online presence ontology and a way to semantically describe the intended audience of a status message through the notion of sharing space - a group of people bound by a shared property (e.g., a common interest, membership in a certain organization, location, etc.). Apart from ontology extensions, we present a prototype that demonstrates the use of semantic Web technologies in directing status messages to their intended audiences.
  • Keywords
    ontologies (artificial intelligence); semantic Web; online presence ontology; semantic Web technologies; shared property; sharing space; status messages; Authorization; Collaboration; Computer security; Corporate acquisitions; Intellectual property; Large-scale systems; Ontologies; Permission; Product design; Writing; Confidentiality; Intended Audience; Online Presence; Online Presence Ontology; Semantic Web; Status Message Sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing, 2009. CollaborateCom 2009. 5th International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-963-9799-76-9
  • Electronic_ISBN
    978-963-9799-76-9
  • Type

    conf

  • DOI
    10.4108/ICST.COLLABORATECOM2009.8371
  • Filename
    5366385