Projects per year
Abstract
This paper addresses the problem of constructing a policy pipeline that enables compliance checking of business processes against regulatory obligations. Towards this end, we propose an Open Digital Rights Language (ODRL) profile that can be used to capture the semantics of both business policies in the form of sets of required permissions and regulatory requirements in the form of deontic concepts, and present their translation into Answer Set Programming (via the Institutional Action Language (InstAL)) for compliance checking purposes. The result of the compliance checking is either a positive compliance result or an explanation pertaining to the aspects of the policy that are causing the non-compliance. The pipeline is illustrated using two (key) fragments of the General Data Protect Regulation, namely Articles 6 (Lawfulness of processing) and Articles 46 (Transfers subject to appropriate safeguards) and industrially-relevant use cases that involve the specification of sets of permissions that are needed to execute business processes. The core contributions of this paper are the ODRL profile, which is capable of modelling regulatory obligations and business policies, the exercise of modelling elements of GDPR in this semantic formalism, and the operationalisation of the model to demonstrate its capability to support personal data processing compliance checking, and a basis for explaining why the request is deemed compliant or not.
| Original language | English |
|---|---|
| Title of host publication | International Joint Conference on Rules and Reasoning |
| Subtitle of host publication | Part of the Lecture Notes in Computer Science book series |
| Editors | Springer Nature Switzerland AG |
| Place of Publication | Italy |
| Pages | 36-51 |
| Volume | 11784 |
| DOIs | |
| Publication status | Published - 2019 |
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 102
- 102015 Information systems
- 502050 Business informatics
- 505002 Data protection
Projects
- 1 Finished
-
SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance
Kirrane, S. (PI - Project head), Drozd, O. (researchers ), Fernandez Garcia, J. D. (researchers ), Havur, G. (researchers ), Polleres, A. (researchers ) & Spiekermann-Hoff, S. (researchers )
1/01/17 → 31/12/19
Project: Research funding
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