Natanael Arndt

LEDS Linked Enterprise Data Services

Distributed Collaboration on RDF Datasets Using Git: Towards the Quit Store

Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collabora-tors and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.


As a research associate of the working group "Agile Knowledge Engineering and Semantic Web" (AKSW) at the Leipzig University, Natanael Arndt is an active participant in the research on collaborative knowledge engineering and Linked Data for many years. He has worked with the Leipzig University Library in the management of electronic resources (e-paper, e-books, databases) using Linked Data. Within the LEDS project he currently leads the key area "Management of Background Knowledge", which addresses the topics of co-evolution as well as enrichment of internal data with knowledge from the Web of Data and its management.