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Leveraging the DDI Model for Linked Statistical Data in the Social, Behavioural, and Economic Sciences

  • Thomas Bosch 1
  • Richard Cyganiak 2
  • Joachim Wackerow 3
  • Benjamin Zapilko 3
  • 1 GESIS – Leibniz Institute for the Social Sciences Square B2, 1 68159 Mannheim, Germany, Germany
  • 2 Digital Enterprise Research Institute, Ireland
  • 3 GESIS – Leibniz Institute for the Social Sciences, Germany
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Abstract

Experts from the statistical domain worked in close collaboration with ontology engineers to develop an ontology of a subset of the Data Documentation Initiative, an established international standard for the documentation and management of data from the social, behavioral, and economic sciences. Experts in the statistics domain formulated use cases which are seen as most significant to solve frequent problems. Various benefits for the Linked Data and the statistics community as well are connected with an RDF representation of the developed ontology. In the main part of the paper, the DDI conceptual model as well as implementations are explained in detail.

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Article details

Published
Section
Full Papers
DOI
10.23106/dcmi.952135935
License
CC BY 4.0 · open access

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This article's metadata, in the vocabulary these proceedings are about.

dcterms:title
Leveraging the DDI Model for Linked Statistical Data in the Social, Behavioural, and Economic Sciences
dcterms:creator
Bosch, Thomas
Cyganiak, Richard
Wackerow, Joachim
Zapilko, Benjamin
dcterms:date
2012-09-08
dcterms:identifier
doi:10.23106/dcmi.952135935
dcterms:subject
Semantic Web
ontology design
RDF
DDI
statistical data
dcterms:publisher
Dublin Core Metadata Initiative
dcterms:type
Text
dcterms:language
en
dcterms:rights
CC BY 4.0