Supporting Complex Changes in RDF(S) Knowledge Bases

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
The increasing amount of information published on the web poses new challenges for data management. A central issue concerns evolution management, as the dynamic nature of data brings forward the need for maintaining data versions as well as identifying changes between them. The dynamic nature of web data brings forward the need for maintaining data versions as well as identifying semantically rich changes between them. In this paper, the authors advocate the need for supporting complex changes in evolving RDF(S) (Resource Description Framework) knowledge bases.
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