- AutorIn
- Stephan Hensel
- Markus Graube
- Prof. Dr.-Ing. Leon Urbas
- Titel
- Methodology for Conflict Detection and Resolution in Semantic Revision Control Systems
- Untertitel
- PLT-Bericht 2016-08-A
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-211244
- Erstveröffentlichung
- 2016
- Abstract (EN)
- Revision control mechanisms are a crucial part of information systems to keep track of changes. It is one of the key requirements for industrial application of technologies like Linked Data which provides the possibility to integrate data from different systems and domains in a semantic information space. A corresponding semantic revision control system must have the same functionality as established systems (e.g. Git or Subversion). There is also a need for branching to enable parallel work on the same data or concurrent access to it. This directly introduces the requirement of supporting merges. This paper presents an approach which makes it possible to merge branches and to detect inconsistencies before creating the merged revision. We use a structural analysis of triple differences as the smallest comparison unit between the branches. The differences that are detected can be accumulated to high level changes, which is an essential step towards semantic merging. We implemented our approach as a prototypical extension of therevision control system R43ples to show proof of concept.
- Freie Schlagwörter (DE)
- Semantic Web, Linked Data, Revisionsverwaltung, Konflikterkennung, Semantik
- Freie Schlagwörter (EN)
- Semantic Web, Linked Data, Revisionscontrol, Conflict Detection, Semantics
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 200, SK 130, ST 132
- Publizierende Institution
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-211244
- Veröffentlichungsdatum Qucosa
- 11.11.2016
- Dokumenttyp
- Bericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis