Title: Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets,
Abstract: In this study, we present Swift Linked Data Miner, an interruptible algorithm
that can directly mine an online Linked Data source (e.g., a SPARQL endpoint)
for OWL 2 EL class expressions to extend an ontology with new SubClassOf:
axioms. The algorithm works by downloading only a small part of the Linked Data
source at a time, building a smart index in the memory and swiftly iterating
over the index to mine axioms. We propose a transformation function from mined
axioms to RDF Data Shapes. We show, by means of a crowdsourcing experiment,
that most of the axioms mined by Swift Linked Data Miner are correct and can be
added to an ontology. We provide a ready to use Protégé plugin implementing
the algorithm, to support ontology engineers in their daily modeling work.