Towards a Benchmark for LOD-Enhanced Knowledge Discovery from Structured Data.
Jindřich Mynarz, Vojtěch Svátek · 2013
To leverage on KDD architectures designed for business databases, original unbounded RDF data has to be transformed. We report on a use case consisting in adaptation of linked data, around a nucleus of public procurement data, for a data mining challenge event. The generic problems addressed are: linked data sampling; (generalised) concise bounded description extraction; propositionalisation to CSV using SPARQL SELECT; and aggregation behaviour assigned by checking conformance to eligibility criteria formulated as SPARQL queries.