Amending RDF Entities with New Facts

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Linked and other open data poses new challenges and opportunities for the data mining community. Unfortunately, the large volume and great heterogeneity of available open data requires significant integration steps before it can be used in applications. A promising technique to explore such data is the use of association rule mining. The authors introduce two algorithms for enriching RDF (Resource Description Framework) data. The first application is a suggestion engine that is based on mining RDF predicates and supports manual statement creation by suggesting new predicates for a given entity.
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