• DocumentCode
    2315718
  • Title

    graphOnt: An ontology based library for conversion from semantic graphs to JUNG

  • Author

    Kelley, Stephen ; Goldberg, Mark ; Magdon-Ismail, Malik ; Mertsalov, Konstantin ; Wallace, William ; Zaki, Mohammed

  • Author_Institution
    Dept. of Comput. Sci., Rensselaer Polytech. Inst. Troy, Troy, NY, USA
  • fYear
    2009
  • fDate
    8-11 June 2009
  • Firstpage
    170
  • Lastpage
    172
  • Abstract
    In this work, we present the software library graphOnt. The purpose of this library is to automate the process of dynamically extracting ldquointerestingrdquo graphs from semantic networks. Instructions on the extraction are fed into the library via an ontological language specification custom built for this application. A set of SPARQL queries are used to define vertices and edges in the constructed graph. Extracted graphs are returned using the JUNG framework, which offers many algorithmic and visualization options. This work allows a set of individuals analyzing the same semantic network to extract and analyze dynamically created graphs using sophisticated, specific algorithmic tools without needing to manually construct classical graphs from the data.
  • Keywords
    graph theory; ontologies (artificial intelligence); query processing; semantic Web; semantic networks; software libraries; JUNG; SPARQL queries; graphOnt; ontological language specification custom; semantic Web; semantic graphs; semantic networks; software library; Algorithm design and analysis; Application software; Computer science; Data mining; Data visualization; Lifting equipment; Ontologies; Open source software; Software libraries; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    978-1-4244-4171-6
  • Electronic_ISBN
    978-1-4244-4173-0
  • Type

    conf

  • DOI
    10.1109/ISI.2009.5137292
  • Filename
    5137292