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dc.contributor.authorKubitza, Dennis Oliver-
dc.contributor.authorBöckmann, Matthias-
dc.contributor.authorGraux, Damien-
dc.date.accessioned2019-12-02T09:04:38Z-
dc.date.available2019-12-02T09:04:38Z-
dc.date.created2019-07-
dc.date.issued2019-10-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/102-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/20-
dc.description.abstractThe 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.en
dc.language.isoenen
dc.relation.hasparthttps://drive.google.com/file/d/1V-0hIrjW2g6T-88dheDoSrT7QgYEmR0U/view-
dc.rights.urihttps://choosealicense.com/licenses/mit/en
dc.subjectgiten
dc.subjectsemanticen
dc.subjectGitHuben
dc.subjectdataseten
dc.subjectrdfen
dc.subjectturtleen
dc.subjectlinked dataseten
dc.subjectresourceen
dc.subjectopen-sourceen
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::005 Computerprogrammierung, Programme, Datenen
dc.titleSemanGit: A Linked Dataset from giten
dc.typeOtheren
dc.description.technicalinformationDataset created via open-source converter available on GitHub. Relies on data from the GHTorrent project.en
fordatis.bibliographicCitation.doihttps://doi.org/10.5281/zenodo.2176047en
fordatis.bibliographicCitation.originalpublishernameSpringeren
fordatis.bibliographicCitation.placeThe Semantic Web – ISWC 2019en
fordatis.instituteIAIS Fraunhofer-Institut für Intelligente Analyse- und Informationssystemeen
fordatis.rawdatafalseen
Enthalten in den Sammlungen:Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS

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