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A Bottom-Up Approach for Licences Classification and Selection

Daga, Enrico; d'Aquin, Mathieu; Motta, Enrico and Gangemi, Aldo (2015). A Bottom-Up Approach for Licences Classification and Selection. In: 2015 Workshop on Legal Domain And Semantic Web Applications (LeDA-SWAn 2015), 1 June 2015, Portoroz, Slovenia.

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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 individ- ually 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.

Item Type: Conference or Workshop Item
Copyright Holders: 2015 The Authors
Extra Information: held during the 12th Extended Semantic Web Conference (ESWC 2015) (31 May 2015 - 4 June 2015)
Keywords: RDF; licences; linked data; formal concept analysis
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 44264
Depositing User: Kay Dave
Date Deposited: 09 Sep 2015 08:35
Last Modified: 13 Sep 2017 08:22
URI: http://oro.open.ac.uk/id/eprint/44264
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