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Linked Open Data for Legislative Domain - Ontology and Experimental Data

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Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 160)

Abstract

In this paper, we present an approach of publishing legislative content as Linked Open Data (LOD). LOD is a set of principles of publishing data on the Web in a machine-readable way so that links between different data sets, possibly published by different publishers, can be created. Therefore, LOD enable not only to publish data but also enrich with other existing data published according to the principles. We present what is the motivation for publishing legislation as LOD and what benefits can be gained. We then introduce a legislative ontology which builds on existing commonly used ontologies. We also show how we converted existing sources of legislation in Czech Republic to LOD.

Keywords

  • Linked Data
  • legislation
  • ontologies
  • Semantic Web

This work was supported by the TAČR grant no. TA02010182.

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Nečaský, M., Knap, T., Klímek, J., Holubová, I., Vidová-Hladká, B. (2013). Linked Open Data for Legislative Domain - Ontology and Experimental Data. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2013. Lecture Notes in Business Information Processing, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41687-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-41687-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41686-6

  • Online ISBN: 978-3-642-41687-3

  • eBook Packages: Computer ScienceComputer Science (R0)