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id title description date_created date_modified date_published original_publication_date publication_doi provider is_published reviews_state version is_latest_version preprint_doi license tags_list tags_data contributors_list contributors_data first_author subjects_list subjects_data download_url has_coi conflict_of_interest_statement has_data_links has_prereg_links prereg_links prereg_link_info last_updated
rc954_v1 A Machine Learning Ontology This paper describes the creation of an ontology to represent the knowledge around the Machine Learning discipline. Protégé 5 was used, which produces results suitable for agents developed by software and for humans. The knowledge created by Protégé is explicit and Protégé has itself inference machines capable of producing implicit knowledge. The resources available in Protégé 5 are displayed and the ontology is made available for public use, in all of its versions. 2020-10-14T16:03:07.325119 2023-09-26T15:13:41.270323 2020-10-20T10:11:52.926698 2020-10-14T03:00:00   frenxiv 1 accepted 1 1 https://doi.org/10.31226/osf.io/rc954 CC-By Attribution 4.0 International machine learning; ontology ["machine learning", "ontology"] Juliao Braga; Joaquim L R Dias; Francisco Regateiro [{"id": "k4nbj", "name": "Juliao Braga", "index": 0, "orcid": "0000-0001-9542-3732", "bibliographic": true}, {"id": "g2sut", "name": "Joaquim L R Dias", "index": 1, "orcid": null, "bibliographic": true}, {"id": "2fb3g", "name": "Francisco Regateiro", "index": 2, "orcid": null, "bibliographic": true}] Juliao Braga Physical Sciences and Mathematics; Computer Sciences; Artificial Intelligence and Robotics [{"id": "5a57dc25076808000d81574c", "text": "Physical Sciences and Mathematics"}, {"id": "5a57dc28076808000d81578d", "text": "Computer Sciences"}, {"id": "5a57dc2b076808000d8157e8", "text": "Artificial Intelligence and Robotics"}] https://osf.io/download/5f872141084712012efdd59c 0   available not_applicable []   2025-04-09T20:03:52.204743
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