• DocumentCode
    3649250
  • Title

    Semantic Web Recommendation application

  • Author

    Szymon Łazaruk;Jakub Dzikowski;Monika Kaczmarek;Witold Abramowicz

  • Author_Institution
    Department of Information Systems, Faculty of Informatics and Electronic Economy, Poznan University of Economics, Poland, Poznan 61-875
  • fYear
    2012
  • Firstpage
    1055
  • Lastpage
    1062
  • Abstract
    This paper focuses on a semantically-enhanced Social Web Recommendation application, called Taste It! Try It! It is a mobile restaurants´ review and recommendation application based on a Linked Data source and integrated with a social network. The application is consuming Linked Data (while creating the reviews), producing semantic annotations (about the reviewed entities), and then, querying the gathered data in order to offer personalized recommendations.
  • Keywords
    "Semantics","Facebook","Mobile communication","Recommender systems","Portals","Resource description framework"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
  • Print_ISBN
    978-1-4673-0708-6
  • Type

    conf

  • Filename
    6354399
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3649250