• DocumentCode
    3740150
  • Title

    Constructing Topos from RDF Data

  • Author

    Marek Z. Reformat;Tim Put

  • Author_Institution
    Univ. of Alberta, Edmonton, AB, Canada
  • Volume
    1
  • fYear
    2015
  • Firstpage
    451
  • Lastpage
    456
  • Abstract
    A significant component of data analysis is related to study relations between pieces of data -- something that is the very fabric of Resource Description Framework (RDF). In such a context, there is a need for a formal methodology of building structures reflecting logical aspects of RDF data, and reasoning about them. Category theory, a branch of modern mathematics, has been seem by many as an abstract description of relations between entities. Multiple constructs and tools provided by category theory allow for modelling and analyzing any phenomena. A topos is a category with an extra structure representing elements of logic. This structure allows for applying categorical semantics to study logic encoded by topos. The paper proposes a methodology for representing RDF data as a topos. It presents required mechanisms of category theory and shows the process of creating components of topos based on RDF triples. The elements of the logic of a topos in the context of RDF are presented and discussed.
  • Keywords
    "Resource description framework","Yttrium","Cities and towns","Context","Buildings","Mathematics","Data mining"
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 IEEE / WIC / ACM International Conference on
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2015.73
  • Filename
    7396847