Applications of linked data in the rail domain

Chris Morris; John Easton; Clive Roberts

doi:10.1109/BigData.2014.7004429

Applications of linked data in the rail domain

Chris Morris, John Easton, Clive Roberts

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	2014 IEEE International Conference on Big Data (Big Data)
DOIs	https://doi.org/10.1109/BigData.2014.7004429
Publication status	Published - 8 Jan 2015

Access to Document

10.1109/BigData.2014.7004429

Cite this

@inproceedings{f2a081fe365a4b6ba3ace231d4a653bf,

title = "Applications of linked data in the rail domain",

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.",

author = "Chris Morris and John Easton and Clive Roberts",

year = "2015",

month = jan,

day = "8",

doi = "10.1109/BigData.2014.7004429",

language = "English",

booktitle = "2014 IEEE International Conference on Big Data (Big Data)",

}

TY - GEN

T1 - Applications of linked data in the rail domain

AU - Morris, Chris

AU - Easton, John

AU - Roberts, Clive

PY - 2015/1/8

Y1 - 2015/1/8

N2 - 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.

AB - 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.

U2 - 10.1109/BigData.2014.7004429

DO - 10.1109/BigData.2014.7004429

M3 - Conference contribution

BT - 2014 IEEE International Conference on Big Data (Big Data)

ER -

Applications of linked data in the rail domain

Abstract

Access to Document

Fingerprint

Cite this