Frequent use cases extraction from legal texts in the data protection domain

Because of the recent entry into force of the General Data Protection Regulation (GDPR), a growing of documents issued by the European Union institutions and authorities often mention and discuss various use cases to be handled to comply with GDPR principles. This contribution addresses the problem of extracting recurrent use cases from legal documents belonging to the data protection domain by exploiting existing Ontology Design Patterns (ODPs). An analysis of ODPs that could be looked for inside data protection related documents is provided. Moreover, a first insight on how Natural Language Processing techniques could be exploited to identify recurrent ODPs from legal texts is presented. Thus, the proposed approach aims to identify standard use cases in the data protection field at EU level to promote the reuse of existing formalisations of knowledge.