Automated Linked Data Generation from the Transport Administration Domain
Date Issued
2015-11-24
Author(s)
Jovanovik, Milos
Najdenov, Bojan
Petkovski, Goran
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 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.
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.
Subjects
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