{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/swift-linked-data-miner-mining-owl-2-el-class","title":"Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets","arxiv_id":"1710.07114","date":"2017-10-19","proceeding":null,"authors":["Jedrzej Potoniec","Piotr Jakubowski","Agnieszka Ławrynowicz"],"abstract":"In this study, we present Swift Linked Data Miner, an interruptible algorithm\nthat can directly mine an online Linked Data source (e.g., a SPARQL endpoint)\nfor OWL 2 EL class expressions to extend an ontology with new SubClassOf:\naxioms. The algorithm works by downloading only a small part of the Linked Data\nsource at a time, building a smart index in the memory and swiftly iterating\nover the index to mine axioms. We propose a transformation function from mined\naxioms to RDF Data Shapes. We show, by means of a crowdsourcing experiment,\nthat most of the axioms mined by Swift Linked Data Miner are correct and can be\nadded to an ontology. We provide a ready to use Prot\\'eg\\'e plugin implementing\nthe algorithm, to support ontology engineers in their daily modeling work.","url_abs":"http://arxiv.org/abs/1710.07114v1","url_pdf":"http://arxiv.org/pdf/1710.07114v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"swift-linked-data-miner-mining-owl-2-el-class","repo_url":"https://bitbucket.org/jpotoniec/sldm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}