Towards Efficient Archiving of Dynamic Linked Open Data

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
The Linked Data paradigm has enabled a huge shared infrastructure for connecting data from different domains which can be browsed and queried together as a huge knowledge base. However, structured interlinked datasets in this Web of data are not static but continuously evolving, which suggests the investigation of approaches to preserve Linked data across time. In this paper, the authors survey and analyze current techniques addressing the problem of archiving different versions of semantic Web data, with a focus on their space efficiency, the retrieval functionality they serve, and the performance of such operations.
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