• DocumentCode
    256055
  • Title

    Analysis of provenance data stack for OWL ontology relevance

  • Author

    Pandey, M. ; Pandey, R.

  • Author_Institution
    Amity Univ., Lucknow, India
  • fYear
    2014
  • fDate
    11-13 Dec. 2014
  • Firstpage
    365
  • Lastpage
    369
  • Abstract
    Semantic web is a web that allows for intelligent knowledge representation and retrieval. However intelligent information retrieval must also cater to the credibility of data being delivered to a seeker of information. Provenance, which tracks the lineage of data items present in the web, is an efficient way to deliver trustworthy data. Provenance is crucial as it allows users to be sure about the content that is being delivered to them. It also aids in reproducibility, result analysis and problem diagnosis. In this paper we have made an endeavor to describe Provenance Architecture Stack and state its relevance to OWL Ontology.
  • Keywords
    information retrieval; knowledge representation languages; ontologies (artificial intelligence); semantic Web; OWL ontology relevance; intelligent information retrieval; knowledge representation; knowledge retrieval; problem diagnosis; provenance architecture stack; provenance data stack; result analysis; semantic Web; Computer architecture; Data models; Educational institutions; Grid computing; OWL; Ontologies; Metadata; Ontology; Provenance; Semantic Web; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Grid Computing (PDGC), 2014 International Conference on
  • Conference_Location
    Solan
  • Print_ISBN
    978-1-4799-7682-9
  • Type

    conf

  • DOI
    10.1109/PDGC.2014.7030772
  • Filename
    7030772