An Archiving System for Managing Evolution in the Data Web

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
The rising data Web has brought forth the requirement to treat in-formation as dynamically evolving aggregations of data from remote and heterogeneous sources, creating the need for intelligent management of the change-driven aspects of the underlying evolving entities. Datasets change in multiple levels, such as evolving semantics, as well as structural characteristics, such as their model and format. In this paper, the authors present an archiving system that is driven by the need to treat evolution in a unified way, taking into account change management, provenance, temporality and querying.
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