• DocumentCode
    3356951
  • Title

    Entity Profiling: Context with Ontology

  • Author

    Moore, Philip ; Hu, Bin

  • Author_Institution
    Dept. of Comput., Univ. of Central England, Birmingham
  • fYear
    2006
  • fDate
    3-5 Aug. 2006
  • Firstpage
    172
  • Lastpage
    177
  • Abstract
    An entities profile, termed context, is fundamental in context-aware computing. Context definitions can provide the basis upon which ontologies can be achieved, an ontology being the conceptualisation of a domain. This paper proposes an approach to the definition of context and presents a discussion on ontology. The issues that impact the implementation of ontologies are discussed and intelligent multi-agent systems are introduced. There is consideration of potential implementation options with identified open research questions. The paper concludes that RDF with OWL and Jena provides a basis for ontology realisation and proposes decision trees to enable the implementation of ontologies
  • Keywords
    knowledge representation languages; multi-agent systems; ontologies (artificial intelligence); ubiquitous computing; Jena; OWL; RDF; context-aware computing; entity profiling; intelligent multiagent systems; ontology; Context-aware services; Control systems; Decision trees; Mobile computing; OWL; Ontologies; Pervasive computing; Physics computing; Resource description framework; Unsupervised learning; Context; Entity Profiling; Ontology; Personalisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2006 1st International Symposium on
  • Conference_Location
    Urumqi
  • Print_ISBN
    1-4244-0326-x
  • Electronic_ISBN
    1-4244-0326-x
  • Type

    conf

  • DOI
    10.1109/SPCA.2006.297563
  • Filename
    4079134