DAOnt：欧盟数据法案合规性的形式本体
DAOnt: A Formal Ontology for EU Data Act Compliance
AI总结：
本文提出DAOnt本体，通过机器可读表示支持数据共享协议的推理，复用LKIF-Core、ODRL和DPV本体元素，实现数据法案合规性检查。
摘要：
欧盟数据法案确立了跨B2C、B2B和B2G场景的数据访问和共享规则。本文提出一个全面的本体，通过机器可读表示支持数据共享协议的推理。DAOnt本体复用LKIF-Core、ODRL和DPV三个已建立的本体元素，以捕捉数据法案的规范结构。本体捕捉了法规中的主要概念和关系，并操作化了三个条款以促进合规性检查：第4(1)条（B2C用户访问权）、第8(6)条（B2B贸易秘密例外）和第19(2)(a)条（B2G竞争使用禁止）。本体通过SPARQL查询支持合规性检查，返回义务、权限和禁止，使组织能够验证数据共享协议是否符合欧盟数据法案的要求，并评估如FRAND义务等条件。通过将关键法律概念表示为RDF，我们的工作帮助弥合了数据法案法律条款与其计算解释之间的差距。完整的本体、示例实例和查询可在网络上获得。
英文摘要：
The EU Data Act establishes comprehensive rules governing data access and sharing across business-to-consumer (B2C), business-to-business (B2B), and business-to-government (B2G) contexts. This paper presents a comprehensive ontology for the EU Data Act, enabling reasoning over data sharing agreements through machine-readable representations. The DAOnt ontology reuses elements from three established ontologies, LKIF-Core, ODRL, and DPV, to capture the normative structure of the Data Act. The ontology captures the main concepts and relationships in the Regulation, and it also operationalises three articles to facilitate compliance checking: Article 4(1) (B2C user access rights), Article 8(6) (B2B trade secret exceptions) and Article 19(2)(a) (B2G competitive use prohibitions). The ontology supports compliance checking through SPARQL queries that return obligations, permissions, and prohibitions, allowing organisations to verify whether data-sharing agreements meet the requirements of the EU Data Act and to assess conditions such as FRAND obligations. By representing key legal concepts in RDF, our work helps bridge the gap between the legal provisions of the Data Act and their computational interpretation. The complete ontology, along with example instances and queries, is available online.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
