Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
110 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Fast Compliance Checking with General Vocabularies (2001.06322v1)

Published 16 Jan 2020 in cs.AI

Abstract: We address the problem of complying with the GDPR while processing and transferring personal data on the web. For this purpose we introduce an extensible profile of OWL2 for representing data protection policies. With this language, a company's data usage policy can be checked for compliance with data subjects' consent and with a formalized fragment of the GDPR by means of subsumption queries. The outer structure of the policies is restricted in order to make compliance checking highly scalable, as required when processing high-frequency data streams or large data volumes. However, the vocabularies for specifying policy properties can be chosen rather freely from expressive Horn fragments of OWL2. We exploit IBQ reasoning to integrate specialized reasoners for the policy language and the vocabulary's language. Our experiments show that this approach significantly improves performance.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. P. A. Bonatti (2 papers)
  2. L. Ioffredo (2 papers)
  3. I. M. Petrova (1 paper)
  4. L. Sauro (2 papers)

Summary

We haven't generated a summary for this paper yet.