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  4. SemanGit: A Linked Dataset from git
 
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2019
Conference Paper
Title

SemanGit: A Linked Dataset from git

Abstract
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.
Author(s)
Kubitza, Dennis Oliver  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Böckmann, Matthias  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Graux, Damien  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
The Semantic Web - ISWC 2019. 18th International Semantic Web Conference. Proceedings. Pt.II  
Project(s)
InDaSpacePlus
QualiChain  
Funder
Bundesministerium für Bildung und Forschung  
European Commission  
Conference
International Semantic Web Conference (ISWC) 2019  
Open Access
File(s)
Download (1.06 MB)
Rights
Use according to copyright law
DOI
10.1007/978-3-030-30796-7_14
10.24406/publica-r-405664
Additional link
Full text
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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