Modelling the Compatibility of Licenses - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Modelling the Compatibility of Licenses

Résumé

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.
Fichier principal
Vignette du fichier
paper.pdf (1.08 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02069076 , version 1 (15-03-2019)

Licence

Identifiants

Citer

Benjamin Moreau, Patricia Serrano-Alvarado, Matthieu Perrin, Emmanuel Desmontils. Modelling the Compatibility of Licenses. 16th Extended Semantic Web Conference (ESWC2019), Jun 2019, Portorož, Slovenia. ⟨10.1007/978-3-030-21348-0_17⟩. ⟨hal-02069076⟩
214 Consultations
210 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More