Open Public Transport Data in Macedonia
Date Issued
2014-04
Author(s)
Jovanovik, Milos
Najdenov, Bojan
Mishevska, Elena
Abstract
The need to represent data on the Web in a
way that will make it easier to manage, has led to new
solutions for data representation, visualization, storage and
querying. The concepts of Open Data, Linked Data and the
Semantic Web offer a significant improvement in
information and data dissemination. These concepts aim
towards making data on the Web machine-readable and
enable interlinking between data from different datasets,
published on different locations. This allows easier data
retrieval by software agents, and enables use-case scenarios
which are unavailable over isolated data silos. On the other
hand, personal time management and daily commute
navigation in urban areas are one of the biggest influencers
on the quality of life of a person. Public transport data has
high value for citizens and generates numerous use-cases.
In this paper, we describe the process of obtaining data
from the public transport company JSP Skopje,
transforming them into the standardized Google Transit
Feed Specification1 format, enhancing them and creating 4
star Open Data. We reused the Transit Ontology2 and the
W3C Geospatial Vocabulary3, and developed our own
complementing ontology for annotation purposes. We
published the generated RDF datasets in order to support
the provided use-case scenarios from this domain via a
public SPARQL endpoint.
way that will make it easier to manage, has led to new
solutions for data representation, visualization, storage and
querying. The concepts of Open Data, Linked Data and the
Semantic Web offer a significant improvement in
information and data dissemination. These concepts aim
towards making data on the Web machine-readable and
enable interlinking between data from different datasets,
published on different locations. This allows easier data
retrieval by software agents, and enables use-case scenarios
which are unavailable over isolated data silos. On the other
hand, personal time management and daily commute
navigation in urban areas are one of the biggest influencers
on the quality of life of a person. Public transport data has
high value for citizens and generates numerous use-cases.
In this paper, we describe the process of obtaining data
from the public transport company JSP Skopje,
transforming them into the standardized Google Transit
Feed Specification1 format, enhancing them and creating 4
star Open Data. We reused the Transit Ontology2 and the
W3C Geospatial Vocabulary3, and developed our own
complementing ontology for annotation purposes. We
published the generated RDF datasets in order to support
the provided use-case scenarios from this domain via a
public SPARQL endpoint.
Subjects
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