Linking open data and the crowd for real-time passenger information

David Corsar, Peter Edwards, John Nelson, Chris Baillie, Konstantinos Papangelis, Nagendra Velaga

Research output: Contribution to journalArticle

8 Citations (Scopus)
9 Downloads (Pure)

Abstract

The availability of real-time passenger information (RTPI) is a key factor in making public transport both accessible and attractive to users. Unfortunately, rural areas often lack the infrastructure necessary to provide such information, and the cost of deploying and maintaining the required technologies outside of urban areas is seen as prohibitive. In this paper we present the GetThere system developed to overcome such issues and to provide public transport users in rural areas with RTPI. An ontological framework for representing mobility information is described, along with the Linked Data approach used to integrate heterogeneous data from multiple sources including government, transport operators, and the public. To mitigate possible issues with the veracity of this data, a quality assessment framework was developed that utilises data provenance. We also discuss our experiences working with Semantic Web technologies in this domain, and present results from both a user trial and a performance evaluation of the system.
Original languageEnglish
Pages (from-to)18–24
Number of pages7
JournalWeb semantics: science, services and agents on the World Wide Web
Volume43
Early online date22 Feb 2017
DOIs
Publication statusPublished - 1 Mar 2017

Fingerprint

Semantic Web
Availability
Costs

Keywords

  • semantic web
  • ontology
  • quality
  • provenance
  • transport
  • citizen-sensing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Linking open data and the crowd for real-time passenger information. / Corsar, David; Edwards, Peter; Nelson, John; Baillie, Chris; Papangelis, Konstantinos; Velaga, Nagendra.

In: Web semantics: science, services and agents on the World Wide Web, Vol. 43 , 01.03.2017, p. 18–24.

Research output: Contribution to journalArticle

Corsar, David ; Edwards, Peter ; Nelson, John ; Baillie, Chris ; Papangelis, Konstantinos ; Velaga, Nagendra. / Linking open data and the crowd for real-time passenger information. In: Web semantics: science, services and agents on the World Wide Web. 2017 ; Vol. 43 . pp. 18–24.
@article{a2f0647d88874e1d8aab5aef3d53b6f8,
title = "Linking open data and the crowd for real-time passenger information",
abstract = "The availability of real-time passenger information (RTPI) is a key factor in making public transport both accessible and attractive to users. Unfortunately, rural areas often lack the infrastructure necessary to provide such information, and the cost of deploying and maintaining the required technologies outside of urban areas is seen as prohibitive. In this paper we present the GetThere system developed to overcome such issues and to provide public transport users in rural areas with RTPI. An ontological framework for representing mobility information is described, along with the Linked Data approach used to integrate heterogeneous data from multiple sources including government, transport operators, and the public. To mitigate possible issues with the veracity of this data, a quality assessment framework was developed that utilises data provenance. We also discuss our experiences working with Semantic Web technologies in this domain, and present results from both a user trial and a performance evaluation of the system.",
keywords = "semantic web, ontology, quality, provenance, transport, citizen-sensing",
author = "David Corsar and Peter Edwards and John Nelson and Chris Baillie and Konstantinos Papangelis and Nagendra Velaga",
note = "The research described here was supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.",
year = "2017",
month = "3",
day = "1",
doi = "10.1016/j.websem.2017.02.002",
language = "English",
volume = "43",
pages = "18–24",
journal = "Web semantics: science, services and agents on the World Wide Web",
issn = "1570-8268",
publisher = "Elsevier",

}

TY - JOUR

T1 - Linking open data and the crowd for real-time passenger information

AU - Corsar, David

AU - Edwards, Peter

AU - Nelson, John

AU - Baillie, Chris

AU - Papangelis, Konstantinos

AU - Velaga, Nagendra

N1 - The research described here was supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.

PY - 2017/3/1

Y1 - 2017/3/1

N2 - The availability of real-time passenger information (RTPI) is a key factor in making public transport both accessible and attractive to users. Unfortunately, rural areas often lack the infrastructure necessary to provide such information, and the cost of deploying and maintaining the required technologies outside of urban areas is seen as prohibitive. In this paper we present the GetThere system developed to overcome such issues and to provide public transport users in rural areas with RTPI. An ontological framework for representing mobility information is described, along with the Linked Data approach used to integrate heterogeneous data from multiple sources including government, transport operators, and the public. To mitigate possible issues with the veracity of this data, a quality assessment framework was developed that utilises data provenance. We also discuss our experiences working with Semantic Web technologies in this domain, and present results from both a user trial and a performance evaluation of the system.

AB - The availability of real-time passenger information (RTPI) is a key factor in making public transport both accessible and attractive to users. Unfortunately, rural areas often lack the infrastructure necessary to provide such information, and the cost of deploying and maintaining the required technologies outside of urban areas is seen as prohibitive. In this paper we present the GetThere system developed to overcome such issues and to provide public transport users in rural areas with RTPI. An ontological framework for representing mobility information is described, along with the Linked Data approach used to integrate heterogeneous data from multiple sources including government, transport operators, and the public. To mitigate possible issues with the veracity of this data, a quality assessment framework was developed that utilises data provenance. We also discuss our experiences working with Semantic Web technologies in this domain, and present results from both a user trial and a performance evaluation of the system.

KW - semantic web

KW - ontology

KW - quality

KW - provenance

KW - transport

KW - citizen-sensing

U2 - 10.1016/j.websem.2017.02.002

DO - 10.1016/j.websem.2017.02.002

M3 - Article

VL - 43

SP - 18

EP - 24

JO - Web semantics: science, services and agents on the World Wide Web

JF - Web semantics: science, services and agents on the World Wide Web

SN - 1570-8268

ER -