A Bottom-Up Approach for Licences Classification and Selection

  • Enrico Daga
  • Mathieu d’Aquin
  • Enrico Motta
  • Aldo Gangemi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)

Abstract

Licences are a crucial aspect of the information publishing process in the web of (linked) data. Recent work on modeling of policies with semantic web languages (RDF, ODRL) gives the opportunity to formally describe licences and reason upon them. However, choosing the right licence is still challenging. Particularly, understanding the number of features - permissions, prohibitions and obligations - constitute a steep learning process for the data provider, who has to check them individually and compare the licences in order to pick the one that better fits her needs. The objective of the work presented in this paper is to reduce the effort required for licence selection. We argue that an ontology of licences, organized by their relevant features, can help providing support to the user. Developing an ontology with a bottom-up approach based on Formal Concept Analysis, we show how the process of licence selection can be simplified significantly and reduced to answering an average of three/five key questions.

Keywords

RDF Licences and linked data Formal Concept Analysis 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Enrico Daga
    • 1
  • Mathieu d’Aquin
    • 1
  • Enrico Motta
    • 1
  • Aldo Gangemi
    • 2
    • 3
  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynesUK
  2. 2.Université Paris13, Sorbonne Cité CNRS UMR7030ParisFrance
  3. 3.Istitute of Cognitive Sciences and Technologies - CNRRomeItaly

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