{"id":"https://openalex.org/W2548195627","doi":"https://doi.org/10.1007/978-3-319-49004-5_31","title":"Ontology Learning in the Deep","display_name":"Ontology Learning in the Deep","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2548195627","doi":"https://doi.org/10.1007/978-3-319-49004-5_31","mag":"2548195627"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-49004-5_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49004-5_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012562128","display_name":"Giulio Petrucci","orcid":"https://orcid.org/0000-0002-4883-3146"},"institutions":[{"id":"https://openalex.org/I4210090861","display_name":"Ferioli & Gianotti (Italy)","ror":"https://ror.org/009v14c36","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210090861"]},{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giulio Petrucci","raw_affiliation_strings":["FBK-irst, Via Sommarive, 18, 38123, Trento, Italy","University of Trento, Via Sommarive, 14, 38123, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"FBK-irst, Via Sommarive, 18, 38123, Trento, Italy","institution_ids":["https://openalex.org/I4210090861"]},{"raw_affiliation_string":"University of Trento, Via Sommarive, 14, 38123, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069353228","display_name":"Chiara Ghidini","orcid":"https://orcid.org/0000-0003-1563-4965"},"institutions":[{"id":"https://openalex.org/I4210090861","display_name":"Ferioli & Gianotti (Italy)","ror":"https://ror.org/009v14c36","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210090861"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Ghidini","raw_affiliation_strings":["FBK-irst, Via Sommarive, 18, 38123, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"FBK-irst, Via Sommarive, 18, 38123, Trento, Italy","institution_ids":["https://openalex.org/I4210090861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043305308","display_name":"Marco Rospocher","orcid":"https://orcid.org/0000-0001-9391-3201"},"institutions":[{"id":"https://openalex.org/I4210090861","display_name":"Ferioli & Gianotti (Italy)","ror":"https://ror.org/009v14c36","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210090861"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Rospocher","raw_affiliation_strings":["FBK-irst, Via Sommarive, 18, 38123, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"FBK-irst, Via Sommarive, 18, 38123, Trento, Italy","institution_ids":["https://openalex.org/I4210090861"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012562128"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I4210090861"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":8.1214,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.98278734,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"480","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.8863234519958496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7650903463363647},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7277342081069946},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6122845411300659},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5605646371841431},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5470122694969177},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5124750733375549},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48948371410369873},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.48750969767570496},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4852859675884247},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4796231687068939},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46961861848831177},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.4560657739639282},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.43856868147850037},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4382789433002472},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.3395116925239563},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.16368228197097778},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.07569175958633423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8863234519958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7650903463363647},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7277342081069946},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6122845411300659},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5605646371841431},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5470122694969177},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5124750733375549},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48948371410369873},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.48750969767570496},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4852859675884247},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4796231687068939},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46961861848831177},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.4560657739639282},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.43856868147850037},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4382789433002472},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3395116925239563},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.16368228197097778},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.07569175958633423},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":3,"locations":[{"id":"doi:10.1007/978-3-319-49004-5_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49004-5_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:iris.unitn.it:11572/170577","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/170577","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:unibz.it:11319658430001241","is_oa":false,"landing_page_url":"https://bia.unibz.it/esploro/outputs/conferenceProceeding/Ontology-learning-in-the-deep/991006805197701241","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W14390946","https://openalex.org/W999442090","https://openalex.org/W1525961042","https://openalex.org/W1555563750","https://openalex.org/W1581407678","https://openalex.org/W1602017060","https://openalex.org/W1859383741","https://openalex.org/W1922064750","https://openalex.org/W2131387542","https://openalex.org/W2133585753","https://openalex.org/W2141599568","https://openalex.org/W2157331557","https://openalex.org/W2167839676","https://openalex.org/W2399456070","https://openalex.org/W2418982007","https://openalex.org/W2483632986","https://openalex.org/W2963440143","https://openalex.org/W3037881859","https://openalex.org/W4251356326","https://openalex.org/W4285719527","https://openalex.org/W6912992434","https://openalex.org/W7051586286"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W4288102755","https://openalex.org/W2103247590","https://openalex.org/W3159777597"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
