| Title | Partial Decision Overrides in a Declarative Policy Framework |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Martiny, Karsten, Denker, Grit |
| Conference Name | 2020 IEEE 14th International Conference on Semantic Computing (ICSC) |
| Keywords | automated reasoning, data privacy, data sharing, Engines, Human Behavior, Information systems, Ontologies, Ontology, policy, policy decision engine, privacy, privacy framework, Privacy Policies, pubcrawl, reasoning, rule, Scalability, semantic technology, Semantics, Vocabulary |
| Abstract | The ability to specify various policies with different overriding criteria allows for complex sets of sharing policies. This is particularly useful in situations in which data privacy depends on various properties of the data, and complex policies are needed to express the conditions under which data is protected. However, if overriding policy decisions constrain the affected data, decisions from overridden policies should not be suppressed completely, because they can still apply to subsets of the affected data. This article describes how a privacy policy framework can be extended with a mechanism to partially override decisions based on specified constraints. Our solution automatically generates complementary sets of decisions for both the overridden and the complementary, non-overridden subsets of the data, and thus, provides a means to specify a complex policies tailored to specific properties of the protected data. |
| DOI | 10.1109/ICSC.2020.00056 |
| Citation Key | martiny_partial_2020 |
Partial Decision Overrides in a Declarative Policy Framework