Applications of linked data in the rail domain

Christopher Morris*, John Easton, Clive Roberts

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Big Data
PublisherIEEE
Pages35-41
Number of pages7
ISBN (Electronic)9781479956654
DOIs
Publication statusPublished - 8 Jan 2015
Event2nd IEEE International Conference on Big Data 2014 - Washington, United States
Duration: 27 Oct 201430 Oct 2014

Conference

Conference2nd IEEE International Conference on Big Data 2014
Abbreviated titleBig Data 2014
Country/TerritoryUnited States
CityWashington
Period27/10/1430/10/14

Keywords

  • Linked Data
  • Ontology
  • Railway data
  • Semantic Data

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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