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A Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the Quit Stack

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dc.contributor.authorArndt, Natanael
dc.contributor.authorRadtke, Norman
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:47:23Z
dc.date.available2017-08-28T23:47:23Z
dc.date.issued2017
dc.description.abstractKnowledge engineering is becoming more and more important and collaborative approaches are promising. Especially in science, collaborative knowledge engineering on research data is a key factor for success. We propose a three layered method for distributed collaboration in curation of RDF datasets with the aim to bring domain experts into the role to command the process. The method builds on the existing infrastructure and work-flows of software engineering. By adding an RDF layer on top of the Git infrastructure, the method is flexible in its adaption to various domains using domain specific editing interfaces.en
dc.identifier.doi10.18420/in2017_187
dc.identifier.isbn978-3-88579-669-5
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectdistributed collaboration
dc.subjectcollaborative curation
dc.subjectquit
dc.subjectgit
dc.subjectSPARQL Update
dc.subjectrdf dataset
dc.subjectdomain specific
dc.subjectsemantic web
dc.subjectdistributed version control system
dc.subjectknowledge engineering
dc.titleA Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the Quit Stacken
gi.citation.endPage1881
gi.citation.startPage1873
gi.conference.date25.-29. September 2017
gi.conference.locationChemnitz
gi.conference.sessiontitleLEDSPLaY17

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