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The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities
Anelia Kurteva1,2, Tek Raj Chhetri1, Amar Tauqeer1,3
1Semantic Technology Institute (STI), Department of Computer Science, Universität Innsbruck, 6020 Innsbruck, Austria.
Sensors (Basel, Switzerland)
|July 14, 2023
Summary
The smashHitCore ontology unifies General Data Protection Regulation (GDPR) legal bases like consent and contracts for smart city and insurance data sharing. It addresses challenges in representing diverse data types and sources compliantly.
Area of Science:
- Data Science
- Information Science
- Legal Informatics
Background:
- General Data Protection Regulation (GDPR) adoption created data handling shifts.
- Existing GDPR ontologies primarily model consent, lacking comprehensive representation of other legal bases like contracts.
- Combining multiple ontologies for contract representation leads to knowledge inconsistencies.
Purpose of the Study:
- To present the smashHitCore ontology, a unified model for GDPR legal bases.
- To address challenges in semantically representing GDPR consent and contract bases with associated data types and sources.
- To facilitate compliant data sharing in smart city and insurance domains.
Main Methods:
- Developed the smashHitCore ontology to model both consent and contract legal bases.
- Integrated representation of sensor data and data processing within the ontology.
- Responded to real-world use cases in insurance (connected cars) and smart cities (feedback systems).
Main Results:
- The smashHitCore ontology provides a coherent model for GDPR legal bases and related data.
- Successfully enabled GDPR-compliant data sharing in connected car insurance scenarios.
- Facilitated GDPR-compliant data sharing in a smart city feedback system.
Conclusions:
- The smashHitCore ontology offers a unified solution for representing diverse GDPR legal bases.
- It effectively supports GDPR-compliant data sharing in complex, real-world applications.
- Addresses limitations of existing ontologies by integrating multiple legal bases and data aspects.
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