{"id":"https://openalex.org/W1606006193","doi":"https://doi.org/10.1007/978-3-319-23525-7_30","title":"Learning Pretopological Spaces for Lexical Taxonomy Acquisition","display_name":"Learning Pretopological Spaces for Lexical Taxonomy Acquisition","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1606006193","doi":"https://doi.org/10.1007/978-3-319-23525-7_30","mag":"1606006193"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-23525-7_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-23525-7_30","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/A5035753375","display_name":"Guillaume Cleuziou","orcid":"https://orcid.org/0000-0002-2885-1152"},"institutions":[{"id":"https://openalex.org/I4210129154","display_name":"Centre Val de Loire","ror":"https://ror.org/03ntmtb29","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210129154"]},{"id":"https://openalex.org/I4210143826","display_name":"Institut National des Sciences Appliqu\u00e9es Centre Val de Loire","ror":"https://ror.org/03y0qc033","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210143826"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Guillaume Cleuziou","raw_affiliation_strings":["Universit\u00e9 D\u2019Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, Orl\u00e9ans, France","Universit\u00e9 D'Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, Orl\u00e9ans, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 D\u2019Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I4210143826","https://openalex.org/I4210129154"]},{"raw_affiliation_string":"Universit\u00e9 D'Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I4210129154","https://openalex.org/I4210143826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043440123","display_name":"Ga\u00ebl Dias","orcid":"https://orcid.org/0000-0002-5840-1603"},"institutions":[{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ga\u00ebl Dias","raw_affiliation_strings":["Universit\u00e9 de Caen Basse-Normandie, GREYC UMR 6072, Caen, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Caen Basse-Normandie, GREYC UMR 6072, Caen, France","institution_ids":["https://openalex.org/I98702875","https://openalex.org/I4210139483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035753375"],"corresponding_institution_ids":["https://openalex.org/I4210129154","https://openalex.org/I4210143826"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3409,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55003751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9955000281333923,"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":0.8136507272720337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6251556873321533},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.6239174604415894},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.6050089597702026},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5731150507926941},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.534841001033783},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46851325035095215},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4534861445426941},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34259021282196045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33536532521247864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19455158710479736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1335989236831665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8136507272720337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6251556873321533},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.6239174604415894},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.6050089597702026},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5731150507926941},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.534841001033783},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46851325035095215},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4534861445426941},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34259021282196045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33536532521247864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19455158710479736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1335989236831665},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-23525-7_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-23525-7_30","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:CiteSeerX.psu:10.1.1.706.3226","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.3226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://dias.users.greyc.fr/publications/ecmlpkdd2015.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01163702v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01163702","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2015, Porto, Portugal","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W163484993","https://openalex.org/W1549479357","https://openalex.org/W1978464964","https://openalex.org/W1987005301","https://openalex.org/W2029344051","https://openalex.org/W2034953016","https://openalex.org/W2093695554","https://openalex.org/W2102381086","https://openalex.org/W2112652344","https://openalex.org/W2123982464","https://openalex.org/W2127314673","https://openalex.org/W2144108169","https://openalex.org/W2145328028","https://openalex.org/W2155734303","https://openalex.org/W2164480198","https://openalex.org/W2171149164","https://openalex.org/W4211116047"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W4251394462","https://openalex.org/W1580673008","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
