Modelling the Compatibility of Licenses

Benjamin Moreau 1 Patricia Serrano-Alvarado 1 Matthieu Perrin 1 Emmanuel Desmontils 1
1 GDD - Gestion de Données Distribuées
LS2N - Laboratoire des Sciences du Numérique de Nantes
Abstract : Web applications facilitate combining resources (linked data, web services, source code, documents, etc.) to create new ones. For a resource producer, choosing the appropriate license for a combined resource is not easy. It involves choosing a license compliant with all the licenses of combined resources and analysing the reusability of the resulting resource through the compatibility of its license. The risk is either, to choose a license too restrictive making the resource difficult to reuse, or to choose a not enough restrictive license that will not sufficiently protect the resource. Finding the right trade-off between compliance and compatibility is a difficult process. An automatic ordering over licenses would facilitate this task. Our research question is: given a license li, how to automatically position li over a set of licenses in terms of compatibility and compliance? We propose CaLi, a model that partially orders licenses. Our approach uses restrictiveness relations among licenses to define compatibility and compliance. We validate experimentally CaLi with a quadratic algorithm and show its usability through a prototype of a license-based search engine. Our work is a step towards facilitating and encouraging the publication and reuse of licensed resources in the Web of Data.
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Submitted on : Friday, March 15, 2019 - 2:39:17 PM
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Benjamin Moreau, Patricia Serrano-Alvarado, Matthieu Perrin, Emmanuel Desmontils. Modelling the Compatibility of Licenses. 16th Extended Semantic Web Conference (ESWC2019), Jun 2019, Portorož, Slovenia. ⟨hal-02069076⟩

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