{"id":"https://openalex.org/W4393769352","doi":"https://doi.org/10.5281/zenodo.6917501","title":"Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching","display_name":"Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching","publication_year":2022,"publication_date":"2022-07-25","ids":{"openalex":"https://openalex.org/W4393769352","doi":"https://doi.org/10.5281/zenodo.6917501"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:6917501","is_oa":true,"landing_page_url":"https://zenodo.org/record/6917501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/6917501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100461968","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-4486-1262"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"He, Yuan","raw_affiliation_strings":["University of Oxford"],"raw_orcid":"https://orcid.org/0000-0002-4486-1262","affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085691361","display_name":"Jiaoyan Chen","orcid":"https://orcid.org/0000-0003-4643-6750"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chen, Jiaoyan","raw_affiliation_strings":["University of Oxford"],"raw_orcid":"https://orcid.org/0000-0003-4643-6750","affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035163413","display_name":"Hang Dong","orcid":"https://orcid.org/0000-0001-6828-6891"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dong, Hang","raw_affiliation_strings":["University of Oxford"],"raw_orcid":"https://orcid.org/0000-0001-6828-6891","affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056324053","display_name":"Ernesto Jim\u00e9nez-Ruiz","orcid":"https://orcid.org/0000-0002-9083-4599"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jim\u00e9nez-Ruiz, Ernesto","raw_affiliation_strings":["City, University of London"],"raw_orcid":"https://orcid.org/0000-0002-9083-4599","affiliations":[{"raw_affiliation_string":"City, University of London","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022807561","display_name":"Ali Hadian","orcid":"https://orcid.org/0000-0003-2010-0765"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hadian, Ali","raw_affiliation_strings":["Samsung Research UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research UK","institution_ids":["https://openalex.org/I4210117523"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060350556","display_name":"Ian Horrocks","orcid":"https://orcid.org/0000-0002-2685-7462"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Horrocks, Ian","raw_affiliation_strings":["University of Oxford"],"raw_orcid":"https://orcid.org/0000-0002-2685-7462","affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.6755754351615906},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.675229012966156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5878016948699951},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5583918690681458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5041433572769165},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.488004595041275},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35259509086608887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33582228422164917},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3357601761817932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21926435828208923},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.148708313703537},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08390408754348755},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.08325624465942383},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.06153959035873413}],"concepts":[{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.6755754351615906},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.675229012966156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5878016948699951},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5583918690681458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5041433572769165},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.488004595041275},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35259509086608887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33582228422164917},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3357601761817932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21926435828208923},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.148708313703537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08390408754348755},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.08325624465942383},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.06153959035873413},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:zenodo.org:6917501","is_oa":true,"landing_page_url":"https://zenodo.org/record/6917501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"dataset"},{"id":"doi:10.5281/zenodo.6917501","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6917501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:6917501","is_oa":true,"landing_page_url":"https://zenodo.org/record/6917501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2142963442","https://openalex.org/W274732444","https://openalex.org/W149627178","https://openalex.org/W2386232412","https://openalex.org/W2793451634","https://openalex.org/W4206428734","https://openalex.org/W152870918","https://openalex.org/W2394920388","https://openalex.org/W2223008607","https://openalex.org/W2391790737"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2],"these":[3],"datasets":[4],"is":[5,44],"to":[6,54],"support":[7],"<em>equivalence</em>":[8],"and":[9,21,51,64],"<em>subsumption</em>":[10],"ontology":[11,16],"matching.":[12,69],"There":[13],"are":[14,98],"five":[15],"pairs":[17],"extracted":[18],"from":[19],"MONDO":[20,27,30],"UMLS:":[22],"<strong>Source</strong>":[23],"<strong>Ontology":[24],"Pair</strong>":[25],"<strong>Category</strong>":[26],"OMIM-ORDO":[28],"Disease":[29,32],"NCIT-DOID":[31],"UMLS":[33,36,39],"SNOMED-FMA":[34],"Body":[35],"SNOMED-NCIT":[37,40],"Pharm":[38],"Neoplas":[41],"Each":[42],"pair":[43],"associated":[45],"with":[46],"three":[47],"folders:":[48],"\"raw_data\",":[49],"\"equiv_match\",":[50],"\"subs_match\",":[52],"corresponding":[53],"the":[55,59,65,76,91,96],"downloaded":[56],"source":[57],"ontologies,":[58],"package":[60,66],"for":[61,67],"equivalence":[62],"matching,":[63],"subsumption":[68],"See":[70,75,83],"detailed":[71],"instructions":[72,97],"at:":[73,81,87],"https://krr-oxford.github.io/DeepOnto/#/om_resources.":[74],"incoming":[77],"OAEI":[78],"Bio-ML":[79],"track":[80],"https://www.cs.ox.ac.uk/isg/projects/ConCur/oaei/.":[82],"our":[84],"resource":[85],"paper":[86],"https://arxiv.org/abs/2205.03447.":[88],"Please":[89],"use":[90],"most":[92],"recent":[93],"version":[94],"as":[95],"updated":[99],"accordingly.":[100]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
