SemanGit: A Linked Dataset from git

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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. Resource type: Dataset Website: http://www.semangit.de/ Permanent URL: https://doi.org/10.5281/zenodo.2176047

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APA

Kubitza, D. O., Böckmann, M., & Graux, D. (2019). SemanGit: A Linked Dataset from git. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11779 LNCS, pp. 215–228). Springer. https://doi.org/10.1007/978-3-030-30796-7_14

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