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In this study, we present Swift Linked Data Miner, an interruptible algorithmthat 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 Datasource at a time, building a smart index in the memory and swiftly iteratingover the index to mine axioms. We propose a transformation function from minedaxioms 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 beadded to an ontology. We provide a ready to use Prot\'eg\'e plugin implementingthe algorithm, to support ontology engineers in their daily modeling work.

Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets