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SemanGit: A Linked Dataset from git

: Kubitza, Dennis Oliver; Boeckmann, Matthias; Graux, Damien

Postprint urn:nbn:de:0011-n-5656580 (1.0 MByte PDF)
MD5 Fingerprint: 68b02df93699a3e183562fbad10510a8
The original publication is available at
Erstellt am: 01.05.2020

Ghidini, C.:
The Semantic Web - ISWC 2019. 18th International Semantic Web Conference. Proceedings. Pt.II : Auckland, New Zealand, October 26-30, 2019
Cham: Springer Nature, 2019 (Lecture Notes in Computer Science 11799)
ISBN: 978-3-030-30795-0 (Print)
ISBN: 978-3-030-30796-7 (Online)
International Semantic Web Conference (ISWC) <18, 2019, Auckland>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
GA 01IS7031; InDaSpacePlus
European Commission EC
H2020; 822404; QualiChain
Decentralised Qualifications' Verification and Management for Learner Empowerment, Education Reengineering and Public Sector Transformation
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

The growing interest in free and open-source software which occurred over the last decades has accelerated the usage of versioning systems to help developers collaborating together in the same projects. As a consequence, specific tools such as git and specialized open-source on-line platforms gained importance. In this study, we introduce and share SemanGit which provides a resource at the crossroads of both Semantic Web and git web-based version control systems. SemanGit is actually the first collection of linked data extracted from GitHub based on a git ontology we designed and extended to include specific GitHub features. In this article, we present the dataset, describe the extraction process according to the ontology, show some promising analyses of the data and outline how SemanGit could be linked with external datasets or enriched with new sources to allow for more complex analyses.