Contributo in atti di convegno, 2018, ENG, 10.1109/RCIS.2018.8406683

Towards automatic translation of social network policies into controlled natural language

Tanoli I.K. (1); Petrocchi M. (2); De Nicola R. (3)

Department of Computer Science, Gran Sasso Science Institute, L'Aquila, Italy (1); Institute of Informatics and Telematics, National Research Council, Pisa, Italy (3); SysMA Research Unit, IMT School for Advanced Studies, Lucca, Italy (3)

On social networks, the storage, usage, and sharing of users data is usually regulated by privacy policies: natural language terms, in which specific actions are authorised, obliged, or denied, under some contextual conditions. Although guaranteeing degrees of readability and clarity, policies in natural language are not machine readable, thus preventing automatic controls on how the data are actually going to be used and processed by the entities that operate on them. In this paper, we propose an ontology-based approach for automatic translation of privacy statements, from natural language to a controlled natural one, to facilitate machine-readable processing. We provide a prototype implementation of the software-based translation tool, showing its effectiveness on a set of Facebook data policies.

12th International Conference on Research Challenges in Information Science (RCIS), pp. 1–27, Namtes, France, 29-31/05/2018

Keywords

Authorization, Facebook, Data privacy, Natural language processing, Tools

CNR authors

Petrocchi Marinella

CNR institutes

IIT – Istituto di informatica e telematica