Amending RDF entities with new facts

Abstract

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. We introduce two algorithms for enriching Rdf 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. The second application is knowledge creation: Based on mining both predicates and objects, we are able to generate entirely new statements for a given data set without any external resources.