Machine Learning

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

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

    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 Prot’eg’e plugin implementing the 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
    by Jedrzej Potoniec, Piotr Jakubowski, Agnieszka Ławrynowicz
    https://arxiv.org/pdf/1710.07114v1.pdf

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