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
Link To Document