RdfRules Preview: Towards an Analytics Engine for Rule Mining in RDF Knowledge Graphs

RdfRules is a framework for mining logical rules from RDFstyle knowledge graphs. The system provides software support for the complete data mining workflows over RDF data: data ingestion, aggregation, transformations, actual rule mining and post-processing of discovered rules, including clustering. As a rule mining algorithm, RdfRules adopts AMIE+ (Galárraga et al, 2015), which has been extended with number of practical features, such as mining across multiple graphs, topk approach and the ability to define fine-grained patterns to reduce the size of the search space. RdfRules is a work-in-progress.