{"id":"https://openalex.org/W6911978310","doi":"https://doi.org/10.5281/zenodo.15519053","title":"The Hereditary Ontology for Phenoclinical Data (HERO-Phenoclinical)","display_name":"The Hereditary Ontology for Phenoclinical Data (HERO-Phenoclinical)","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W6911978310","doi":"https://doi.org/10.5281/zenodo.15519053"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.15519053","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15519053","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":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.15519053","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Silvello, Gianmaria","orcid":"https://orcid.org/0000-0003-4970-4554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Silvello, Gianmaria","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4970-4554","affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Menotti, Laura","orcid":"https://orcid.org/0000-0002-0676-682X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Menotti, Laura","raw_affiliation_strings":["University of Padua"],"raw_orcid":"https://orcid.org/0000-0002-0676-682X","affiliations":[{"raw_affiliation_string":"University of Padua","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7314000129699707},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6065000295639038},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5160999894142151},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.3734000027179718},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.36010000109672546},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.32409998774528503}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7314000129699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635000109672546},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6065000295639038},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4749999940395355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40389999747276306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3993000090122223},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C21338462","wikidata":"https://www.wikidata.org/wiki/Q1662581","display_name":"Information model","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C2993807623","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genetic data","level":3,"score":0.2574000060558319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.15519053","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15519053","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":"doi:10.5281/zenodo.15519053","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15519053","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":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6207606345","display_name":"HetERogeneous sEmantic Data integratIon for the guT-bRain interplaY","funder_award_id":"101137074","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,64,85],"Clinical":[1],"Data":[2],"Modeling":[3],"is":[4,93],"based":[5],"on":[6],"the":[7,17,43,69],"BrainTeaser":[8],"Ontology":[9],"(BTO)":[10],"[Faggioli":[11],"et":[12],"al.,":[13],"2024].":[14],"We":[15],"followed":[16],"same":[18],"event-based":[19],"structure":[20],"but":[21],"added":[22,38],"some":[23,59],"properties":[24,60],"and":[25,58,82,90,113,123],"classes":[26],"to":[27,31,41],"include":[28],"useful":[29],"information":[30],"our":[32],"use":[33],"case.":[34],"In":[35],"particular,":[36],"we":[37,74],"a":[39,101],"class":[40],"represent":[42],"affiliated":[44],"Socio-Health":[45],"Local":[46],"Authority":[47],"(ULSS":[48],"in":[49,68],"Italy)":[50],"for":[51,55,61,80],"each":[52,99],"patient,":[53],"one":[54],"risk":[56],"factors,":[57],"MS":[62,83,91],"relapses.":[63],"biggest":[65],"changes":[66],"are":[67],"Diagnostic":[70],"Procedure":[71],"area,":[72],"where":[73],"included":[75],"several":[76],"new":[77],"tests":[78],"both":[79],"ALS":[81,89],"patients.":[84],"clinical":[86],"course":[87],"of":[88,103],"patients":[92],"organized":[94],"into":[95,118],"eight":[96],"semantic":[97],"areas,":[98],"denoting":[100],"set":[102],"ontological":[104],"classes:":[105],"\u201cPatient\"":[106],"with":[107],"\u201cEnvironmental":[108],"Data\",":[109],"\u201cEvent\",":[110],"\u201cActivity\",":[111],"\u201cContingencies\",":[112],"\u201cIntervention":[114],"or":[115],"Procedures\",":[116,120,122],"divided":[117],"\u201cSurgical":[119],"\u201cDiagnostic":[121],"\u201cTherapeutic":[124],"Procedures\".":[125]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
