{"id":"https://openalex.org/W2516977846","doi":"https://doi.org/10.1145/2960811.2967151","title":"Combining Taxonomies using Word2vec","display_name":"Combining Taxonomies using Word2vec","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2516977846","doi":"https://doi.org/10.1145/2960811.2967151","mag":"2516977846"},"language":"en","primary_location":{"id":"doi:10.1145/2960811.2967151","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2960811.2967151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM Symposium on Document Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1820/7059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048684234","display_name":"Tobias Swoboda","orcid":null},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"University of Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Swoboda","raw_affiliation_strings":["University of Hagen, Hagen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Hagen, Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086429143","display_name":"Matthias Hemmje","orcid":"https://orcid.org/0000-0001-8293-2802"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"University of Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Hemmje","raw_affiliation_strings":["University of Hagen, Hagen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Hagen, Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072192995","display_name":"Mihai Dasc\u0103lu","orcid":"https://orcid.org/0000-0002-4815-9227"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mihai Dascalu","raw_affiliation_strings":["University Politehnica of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077419846","display_name":"\u0218tefan Tr\u0103u\u0219an-Matu","orcid":"https://orcid.org/0000-0001-8082-8497"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Stefan Trausan-Matu","raw_affiliation_strings":["University Politehnica of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048684234"],"corresponding_institution_ids":["https://openalex.org/I120691247"],"apc_list":null,"apc_paid":null,"fwci":1.7669,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89453938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9994000196456909,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.996999979019165,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.9405637383460999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8597960472106934},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5685269236564636},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5032724738121033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4855360984802246},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4821445643901825},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4653666019439697},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43583399057388306},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3364594578742981},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3293900489807129}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.9405637383460999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8597960472106934},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5685269236564636},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5032724738121033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4855360984802246},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4821445643901825},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4653666019439697},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43583399057388306},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3364594578742981},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3293900489807129},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2960811.2967151","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2960811.2967151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM Symposium on Document Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.ou.nl:1820/7059","is_oa":true,"landing_page_url":"http://hdl.handle.net/1820/7059","pdf_url":null,"source":{"id":"https://openalex.org/S4306401002","display_name":"DSpace (Open University in the Netherlands)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7876267","host_organization_name":"Open University of the Netherlands","host_organization_lineage":["https://openalex.org/I7876267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"},{"id":"pmh:oai:zenodo.org:3495080","is_oa":true,"landing_page_url":"https://zenodo.org/record/3495080","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.ou.nl:1820/7059","is_oa":true,"landing_page_url":"http://hdl.handle.net/1820/7059","pdf_url":null,"source":{"id":"https://openalex.org/S4306401002","display_name":"DSpace (Open University in the Netherlands)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7876267","host_organization_name":"Open University of the Netherlands","host_organization_lineage":["https://openalex.org/I7876267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1579838312","https://openalex.org/W1880262756","https://openalex.org/W2013093146","https://openalex.org/W2039715983","https://openalex.org/W2066844757","https://openalex.org/W2100071287","https://openalex.org/W2118020653","https://openalex.org/W2616111970","https://openalex.org/W2752885492","https://openalex.org/W3004540582","https://openalex.org/W3145128584","https://openalex.org/W4246219036","https://openalex.org/W4285719527","https://openalex.org/W6607467106","https://openalex.org/W6821143472"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W3110772647","https://openalex.org/W2770162183","https://openalex.org/W4390881630","https://openalex.org/W2894231409","https://openalex.org/W2947721150","https://openalex.org/W2995297654","https://openalex.org/W2971810784"],"abstract_inverted_index":{"Taxonomies":[0],"have":[1],"gained":[2],"a":[3,7,77,129,162],"broad":[4],"usage":[5],"in":[6,34,43,108,143],"variety":[8],"of":[9,112,123,154],"fields":[10],"due":[11],"to":[12,45],"their":[13,18,36],"extensibility,":[14],"as":[15,17],"well":[16],"use":[19],"for":[20,67,105,169],"classification":[21],"and":[22,102,171],"knowledge":[23,70],"organization.":[24],"Of":[25],"particular":[26],"interest":[27],"is":[28,128,158],"the":[29,56,109,120,137,155],"digital":[30],"document":[31],"management":[32],"domain":[33,126],"which":[35],"hierarchical":[37],"structure":[38],"can":[39],"be":[40],"effectively":[41],"employed":[42],"order":[44],"organize":[46],"documents":[47],"into":[48],"content-specific":[49],"categories.":[50],"Common":[51],"or":[52,145],"standard":[53],"taxonomies":[54,86,90,107,124,157],"(e.g.,":[55],"ACM":[57],"Computing":[58],"Classification":[59],"System)":[60],"contain":[61],"concepts":[62],"that":[63,81],"are":[64],"too":[65],"general":[66,85],"conceptualizing":[68],"specific":[69,93],"domains.":[71],"In":[72],"this":[73],"paper":[74],"we":[75],"introduce":[76],"novel":[78],"automated":[79],"approach":[80],"combines":[82],"sub-trees":[83],"from":[84],"with":[87,165],"specialized":[88],"seed":[89],"by":[91,125],"using":[92],"Natural":[94],"Language":[95],"Processing":[96],"techniques.":[97],"We":[98],"provide":[99],"an":[100],"extensible":[101],"generalizable":[103],"model":[104,135],"combining":[106,172],"practical":[110],"context":[111],"two":[113],"very":[114],"large":[115],"European":[116],"research":[117],"projects.":[118],"Because":[119],"manual":[121],"combination":[122],"experts":[127],"highly":[130],"time":[131],"consuming":[132],"task,":[133],"our":[134],"measures":[136],"semantic":[138],"relatedness":[139],"between":[140],"concept":[141],"labels":[142],"CBOW":[144],"skip-gram":[146],"Word2vec":[147],"vector":[148],"spaces.":[149],"A":[150],"preliminary":[151],"quantitative":[152],"evaluation":[153],"resulting":[156],"performed":[159],"after":[160],"applying":[161],"greedy":[163],"algorithm":[164],"incremental":[166],"thresholds":[167],"used":[168],"matching":[170],"topic":[173],"labels.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
