Coherent and consistent tracking of provenance data and in particular update history information is a crucial building block for any serious information system architecture. Version Control Systems can be a part of such an architecture enabling users to query and manipulate versioning information as well as content revisions. In this paper, we introduce an RDF versioning approach as a foundation for a full featured RDF Version Control System. We argue that such a system needs support for all concepts of the RDF specifi cation including support for RDF datasets and blank nodes. Furthermore, we placed special emphasis on the protection against unperceived history manipulation by hashing the resulting patches. In addition to the conceptual analysis and an RDF vocabulary for representing versioning information, we present a mature implementation which captures versioning information for changes to arbitrary RDF datasets.
Dr. Sebastian Tramp obtained a diploma as well as a PhD in computer science from the University of Leipzig. He is founding member of the AKSW research group and author of more than 50 peer-reviewed publications. He was PC member, additional reviewer or organizer for more than 30 research events and journals incl. ESWC, Semantic Web Journal and Journal of Web Semantics. His research interests cover Linked Data Infrastructure as well as Distributed Semantic Social and Business Networks. He led a number of key Linked Data technology projects, such as the development of the data wiki OntoWiki. Since 2014 Sebastian is CTO of eccenca GmbH.
