• DocumentCode
    2459834
  • Title

    Algorithms for Generating Ontology Based Visualization from Semantic Search Results

  • Author

    Nazir, Fawad ; Uren, Victoria ; Nikolov, Andriy

  • fYear
    2009
  • fDate
    Aug. 31 2009-Sept. 4 2009
  • Firstpage
    464
  • Lastpage
    468
  • Abstract
    This paper presents algorithmic approaches for the transformation of list based search results from a semantic search engines (i.e. SemSearch) into a visual representation. We present the results and methodology of our preliminary implementation of the semantic search visualization engine (ViSS). ViSS, takes as input the semantic structure of semantic search results and reproduces them into a summarized, conclusive and meaningful graphical representation. Depending on the semantic search results our algorithms select the best visual representations.The current version of ViSS supports visual formats of directed graphs, charts and tables.
  • Keywords
    data visualisation; directed graphs; ontologies (artificial intelligence); search engines; semantic Web; directed graphs; ontology based visualization; semantic Web; semantic search results; semantic search visualization engine; visual representations; Data engineering; Data visualization; Displays; Expert systems; Knowledge engineering; Ontologies; Search engines; Semantic Web; Space technology; Visual databases; Information Visualization; Ontology Visualization; Semantic Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
  • Conference_Location
    Linz
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-3763-4
  • Type

    conf

  • DOI
    10.1109/DEXA.2009.19
  • Filename
    5337243