• DocumentCode
    1791750
  • Title

    Applications of linked data in the rail domain

  • Author

    Morris, Christopher ; Easton, John ; Roberts, Clive

  • Author_Institution
    Birmingham Centre for Railway Res. & Educ., Univ. of Birmingham, Birmingham, UK
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    35
  • Lastpage
    41
  • Abstract
    This paper presents early findings from a larger study, into the use of linked data in the rail domain. The study and other literature has shown there to be benefits from improved integration of data in this domain and proposes that linked data in general and ontology in particular will address this. The paper will set out the current state of data integration in the British rail domain, highlighting issues found there. The manner in which linked data is employed in the broader transport domain will then be examined along with previous work pertaining to the rail domain.
  • Keywords
    data integration; ontologies (artificial intelligence); rail traffic; traffic engineering computing; British rail domain; data integration; linked data; ontology; transport domain; Industries; Maintenance engineering; Ontologies; Rail transportation; Rails; Vehicles; Vocabulary; Linked Data; Ontology; Railway data; Semantic Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004429
  • Filename
    7004429