• DocumentCode
    2019985
  • Title

    Visual support for ontology learning: an experience report

  • Author

    Sabou, Marta

  • Author_Institution
    Vrije Universiteit Amsterdam, Netherlands
  • fYear
    2005
  • fDate
    6-8 July 2005
  • Firstpage
    494
  • Lastpage
    499
  • Abstract
    Ontology learning methods aim to automate ontology construction. They are complex methods involving several elements such as documents, terms and concepts. During the development of an ontology learning method, as well as during its deployment, several situations occur where understanding the relations between these elements is crucial. Our hypothesis is that visual techniques can be used to aid this understanding. To support this claim, we present a set of such complex situations and describe the visual solutions that we developed to support them.
  • Keywords
    data visualisation; learning (artificial intelligence); ontologies (artificial intelligence); semantic Web; cluster map; data visualisation; ontology construction automation; ontology learning; semantic Web; visual techniques; Automation; Buildings; Context-aware services; Humans; Knowledge transfer; Learning systems; Machine learning; Ontologies; Semantic Web; Visualization; Cluster Map; Ontology Learning; Semantic Web; Visualisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation, 2005. Proceedings. Ninth International Conference on
  • ISSN
    1550-6037
  • Print_ISBN
    0-7695-2397-8
  • Type

    conf

  • DOI
    10.1109/IV.2005.137
  • Filename
    1509121