• DocumentCode
    245092
  • Title

    A Gaussian Process Model for Knowledge Propagation in Web Ontologies

  • Author

    Minervini, Pasquale ; d´Amato, Claudia ; Fanizzi, Nicola ; Esposito, Floriana

  • Author_Institution
    Dept. of Comput. Sci., Univ. degli Studi di Bari, Aldo Moro, Italy
  • fYear
    2014
  • fDate
    14-17 Dec. 2014
  • Firstpage
    929
  • Lastpage
    934
  • Abstract
    We consider the problem of predicting missing class-memberships and property values of individual resources in Web ontologies. We first identify which relations tend to link similar individuals by means of a finite-set Gaussian Process regression model, and then efficiently propagate knowledge about individuals across their relations. Our experimental evaluation demonstrates the effectiveness of the proposed method.
  • Keywords
    Gaussian processes; Internet; ontologies (artificial intelligence); regression analysis; Web ontologies; class-memberships; finite-set Gaussian process regression model; knowledge propagation; property values; Gaussian processes; Kernel; Labeling; Ontologies; Portals; Symmetric matrices; Training; gaussian process; semantic web; semi-supervised; transductive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining (ICDM), 2014 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • ISSN
    1550-4786
  • Print_ISBN
    978-1-4799-4303-6
  • Type

    conf

  • DOI
    10.1109/ICDM.2014.83
  • Filename
    7023425
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=245092