{"id":"https://openalex.org/W2083946022","doi":"https://doi.org/10.1109/tkde.2015.2397432","title":"Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees","display_name":"Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees","publication_year":2015,"publication_date":"2015-02-02","ids":{"openalex":"https://openalex.org/W2083946022","doi":"https://doi.org/10.1109/tkde.2015.2397432","mag":"2083946022"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2397432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2397432","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","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/A5020880385","display_name":"Yangqiu Song","orcid":"https://orcid.org/0000-0002-7818-6090"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yangqiu Song","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801","Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana. IL 61801"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana. IL 61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038775008","display_name":"Shi\u2010Xia Liu","orcid":"https://orcid.org/0000-0001-6104-4320"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixia Liu","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China","School of Software, Tsinghua University Beijing China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775513","display_name":"Xueqing Liu","orcid":"https://orcid.org/0000-0002-7144-0172"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueqing Liu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801","Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana. IL 61801"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana. IL 61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063351917","display_name":"Haixun Wang","orcid":"https://orcid.org/0009-0007-0773-7004"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haixun Wang","raw_affiliation_strings":["Knowledge Management, Google Research, Mountain View, CA 94043"],"affiliations":[{"raw_affiliation_string":"Knowledge Management, Google Research, Mountain View, CA 94043","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020880385"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.0103,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87266791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"27","issue":"7","first_page":"1861","last_page":"1874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9955999851226807,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7729851603507996},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.7341268062591553},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6297194361686707},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.586918294429779},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5045799016952515},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4642987847328186},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45470625162124634},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4544444978237152},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44761380553245544},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41977524757385254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28491222858428955},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18357273936271667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13796797394752502},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08314007520675659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729851603507996},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7341268062591553},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6297194361686707},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.586918294429779},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5045799016952515},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4642987847328186},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45470625162124634},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4544444978237152},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44761380553245544},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41977524757385254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28491222858428955},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18357273936271667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13796797394752502},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08314007520675659},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2015.2397432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2397432","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-79853","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-79853","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W11540594","https://openalex.org/W89857650","https://openalex.org/W91893616","https://openalex.org/W109031798","https://openalex.org/W1489720340","https://openalex.org/W1491611863","https://openalex.org/W1493490255","https://openalex.org/W1502916507","https://openalex.org/W1505839237","https://openalex.org/W1512387364","https://openalex.org/W1518174457","https://openalex.org/W1561114193","https://openalex.org/W1584577385","https://openalex.org/W1651093245","https://openalex.org/W1847921443","https://openalex.org/W1965069660","https://openalex.org/W1973309015","https://openalex.org/W1987940107","https://openalex.org/W1992419399","https://openalex.org/W2022014952","https://openalex.org/W2022166150","https://openalex.org/W2025653016","https://openalex.org/W2038721957","https://openalex.org/W2038826915","https://openalex.org/W2047260110","https://openalex.org/W2049644877","https://openalex.org/W2065259291","https://openalex.org/W2068737686","https://openalex.org/W2088658556","https://openalex.org/W2094728533","https://openalex.org/W2095627566","https://openalex.org/W2097184821","https://openalex.org/W2097766966","https://openalex.org/W2100071287","https://openalex.org/W2110400879","https://openalex.org/W2115461474","https://openalex.org/W2121855012","https://openalex.org/W2123084125","https://openalex.org/W2123094878","https://openalex.org/W2123656745","https://openalex.org/W2124436241","https://openalex.org/W2126337883","https://openalex.org/W2127978399","https://openalex.org/W2128999403","https://openalex.org/W2135631383","https://openalex.org/W2138605095","https://openalex.org/W2145001205","https://openalex.org/W2158345769","https://openalex.org/W2165558283","https://openalex.org/W2168644362","https://openalex.org/W2170605888","https://openalex.org/W2173213060","https://openalex.org/W2949613959","https://openalex.org/W4235505822","https://openalex.org/W6600468559","https://openalex.org/W6603592053","https://openalex.org/W6603666240","https://openalex.org/W6629428875","https://openalex.org/W6629486361","https://openalex.org/W6629638141","https://openalex.org/W6629956336","https://openalex.org/W6630579473","https://openalex.org/W6630961256","https://openalex.org/W6633515730","https://openalex.org/W6634938142","https://openalex.org/W6637231022","https://openalex.org/W6638943363","https://openalex.org/W6678039417","https://openalex.org/W6678362882","https://openalex.org/W6682124274","https://openalex.org/W6684723771","https://openalex.org/W6762700252"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2963177394","https://openalex.org/W1595229445","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W1965815883","https://openalex.org/W763418848","https://openalex.org/W2024638892"],"abstract_inverted_index":{"In":[0],"this":[1,84],"paper,":[2],"we":[3,86,103,145,162],"study":[4],"a":[5,10,13,36,56,66,70,89,105,110,114,140,148],"challenging":[6],"problem":[7],"of":[8,15,50,58,69,117,123,174,181,192],"deriving":[9],"taxonomy":[11,67,112,150,188],"from":[12,128,151],"set":[14,57,72,116],"keyword":[16,71,93,154],"phrases.":[17],"A":[18,177],"solution":[19],"can":[20,146],"benefit":[21],"many":[22,42],"real-world":[23],"applications":[24],"because":[25],"i)":[26],"keywords":[27],"give":[28],"users":[29],"the":[30,48,97,121,170,190],"flexibility":[31],"and":[32,39,79,92,100,172],"ease":[33],"to":[34,64,95,108,133,168],"characterize":[35],"specific":[37,196],"domain;":[38],"ii)":[40],"in":[41,156],"applications,":[43],"such":[44],"as":[45],"online":[46],"advertisements,":[47],"domain":[49],"interest":[51],"is":[52,62],"already":[53],"represented":[54],"by":[55],"keywords.":[59,118],"However,":[60],"it":[61],"impossible":[63],"create":[65],"out":[68],"itself.":[73],"We":[74,119],"argue":[75],"that":[76,144],"additional":[77],"knowledge":[78,99],"context":[80],"are":[81],"needed.":[82],"To":[83],"end,":[85],"first":[87],"use":[88],"general-purpose":[90],"knowledgebase":[91],"search":[94,186],"supply":[96],"required":[98],"context.":[101],"Then,":[102],"develop":[104],"Bayesian":[106],"approach":[107,194],"build":[109],"hierarchical":[111,125],"for":[113,195],"given":[115],"reduce":[120],"complexity":[122],"previous":[124],"clustering":[126],"approaches":[127],"<inline-formula><tex-math":[129],"notation=\"LaTeX\">$O(n^2\\;":[130],"\\log\\;":[131,137],"n)$</tex-math></inline-formula>":[132,138],"<inline-formula>":[134],"<tex-math":[135],"notation=\"LaTeX\">$O(n\\;":[136],"using":[139],"nearest-neighbor-based":[141],"approximation,":[142],"so":[143],"derive":[147],"domain-specific":[149],"one":[152],"million":[153],"phrases":[155],"less":[157],"than":[158],"an":[159,183],"hour.":[160],"Finally,":[161],"conduct":[163],"comprehensive":[164],"large":[165],"scale":[166],"experiments":[167],"show":[169],"effectiveness":[171],"efficiency":[173],"our":[175,193],"approach.":[176],"real":[178],"life":[179],"example":[180],"building":[182],"insurance-related":[184],"web":[185],"query":[187],"illustrates":[189],"usefulness":[191],"domains.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}