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Automated linked data generation from the transport administration domain

Najdenov, Bojan; Petkovski, Goran; Jovanovik, Milos; Stojanov, Riste and Trajanov, Dimitar (2016) 23rd Telecommunications Forum, TELFOR 2015 In 2015 23rd Telecommunications Forum, TELFOR 2015 p.827-830
Abstract

The Linked Data approach in data publishing allows the users and their data-driven applications to have broader use cases which encompass various data sources, either publicly available on the Web, or in private repositories. The use of W3C standards in publishing such data enables uniform access across platforms. Transport information today has higher importance to the citizens and society than ever and accessing the right information at the right time can improve the quality of everyday life for many people in the world. In this paper, we describe our approach of building a system for automated Linked Data generation from the transportation domain. We used the data from the Swedish Transport Administration (STA) as a specific case... (More)

The Linked Data approach in data publishing allows the users and their data-driven applications to have broader use cases which encompass various data sources, either publicly available on the Web, or in private repositories. The use of W3C standards in publishing such data enables uniform access across platforms. Transport information today has higher importance to the citizens and society than ever and accessing the right information at the right time can improve the quality of everyday life for many people in the world. In this paper, we describe our approach of building a system for automated Linked Data generation from the transportation domain. We used the data from the Swedish Transport Administration (STA) as a specific case study. For the purpose of RDF annotation, we developed the Transport Administration Ontology (TAO). The resulting five-star data enables advanced use case scenarios over the original STA data, which we also demonstrate with our web application.

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Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Automated Systems, Linked Data, Open Data, Swedish Transport Administration, Transport Administration Ontology
in
2015 23rd Telecommunications Forum, TELFOR 2015
pages
4 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
23rd Telecommunications Forum, TELFOR 2015
external identifiers
  • Scopus:84964543325
DOI
10.1109/TELFOR.2015.7377593
language
English
LU publication?
no
id
48669273-1e70-4e8b-bd20-b7904465fe93
date added to LUP
2016-10-06 15:40:30
date last changed
2017-01-01 08:36:10
@inproceedings{48669273-1e70-4e8b-bd20-b7904465fe93,
  abstract     = {<p>The Linked Data approach in data publishing allows the users and their data-driven applications to have broader use cases which encompass various data sources, either publicly available on the Web, or in private repositories. The use of W3C standards in publishing such data enables uniform access across platforms. Transport information today has higher importance to the citizens and society than ever and accessing the right information at the right time can improve the quality of everyday life for many people in the world. In this paper, we describe our approach of building a system for automated Linked Data generation from the transportation domain. We used the data from the Swedish Transport Administration (STA) as a specific case study. For the purpose of RDF annotation, we developed the Transport Administration Ontology (TAO). The resulting five-star data enables advanced use case scenarios over the original STA data, which we also demonstrate with our web application.</p>},
  author       = {Najdenov, Bojan and Petkovski, Goran and Jovanovik, Milos and Stojanov, Riste and Trajanov, Dimitar},
  booktitle    = {2015 23rd Telecommunications Forum, TELFOR 2015},
  keyword      = {Automated Systems,Linked Data,Open Data,Swedish Transport Administration,Transport Administration Ontology},
  language     = {eng},
  month        = {01},
  pages        = {827--830},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Automated linked data generation from the transport administration domain},
  url          = {http://dx.doi.org/10.1109/TELFOR.2015.7377593},
  year         = {2016},
}