Scalable Semantic Version Control for Linked Data Management

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Linked data is the semantic Web's established standard for publishing and interlinking data. When authors collaborate on a data set, distribution and tracking of changes are crucial aspects. Several approaches for version control were presented in this area each focusing on different aspects and bounded to different limitations. In this paper, the authors present an approach for semantic version control for dynamic linked data based on a delta-based storage strategy and on-demand reconstruction of historic versions.
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