Dataset GESIS2014

Survey on Common Strategies regarding Vocabulary Reuse in Linked Open Data Modeling

Schaible, Johann; Scherp, Ansgar; Gottron, Thomas; Kiel University and ZBW; GESIS - Leibniz Institute for the Social Sciences; Web Science and Technologies, University of Koblenz-Landau

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Abstract

The main contribution of the survey is to condense and aggregate the experience and knowledge of Linked Data experts and practitioners regarding the most common strategies to reuse vocabularies when modeling Linked Open Data in a real-world scenario.

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