{"id":"https://openalex.org/W2579796773","doi":"https://doi.org/10.1109/tkde.2017.2653115","title":"Probase+: Inferring Missing Links in Conceptual Taxonomies","display_name":"Probase+: Inferring Missing Links in Conceptual Taxonomies","publication_year":2017,"publication_date":"2017-01-17","ids":{"openalex":"https://openalex.org/W2579796773","doi":"https://doi.org/10.1109/tkde.2017.2653115","mag":"2579796773"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2017.2653115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2653115","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/A5075507821","display_name":"Jiaqing Liang","orcid":"https://orcid.org/0000-0003-0670-5602"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqing Liang","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090455375","display_name":"Yanghua Xiao","orcid":"https://orcid.org/0000-0001-8403-9591"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghua Xiao","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063351917","display_name":"Haixun Wang","orcid":"https://orcid.org/0009-0007-0773-7004"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haixun Wang","raw_affiliation_strings":["Facebook, Menlo Park, CA"],"affiliations":[{"raw_affiliation_string":"Facebook, Menlo Park, CA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101457065","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-6077-7565"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100780198","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-2026-5378"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Shi, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075507821"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.5602,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86779635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"6","first_page":"1281","last_page":"1295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.8251677751541138},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.7835260629653931},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5395210981369019},{"id":"https://openalex.org/keywords/conceptual-framework","display_name":"Conceptual framework","score":0.46514904499053955},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4560002386569977},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4489898681640625},{"id":"https://openalex.org/keywords/conceptual-model","display_name":"Conceptual model","score":0.4186326265335083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33210813999176025},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3241804242134094},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1133563220500946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11239126324653625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8251677751541138},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7835260629653931},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5395210981369019},{"id":"https://openalex.org/C14224292","wikidata":"https://www.wikidata.org/wiki/Q13600188","display_name":"Conceptual framework","level":2,"score":0.46514904499053955},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4560002386569977},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4489898681640625},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.4186326265335083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33210813999176025},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3241804242134094},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1133563220500946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11239126324653625},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":1,"locations":[{"id":"doi:10.1109/tkde.2017.2653115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2653115","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1299215677","display_name":null,"funder_award_id":"U1509213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1800247520","display_name":null,"funder_award_id":"61472085","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G310626206","display_name":null,"funder_award_id":"15JC1400900","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W38703128","https://openalex.org/W87289778","https://openalex.org/W111534319","https://openalex.org/W1491206589","https://openalex.org/W1491611863","https://openalex.org/W1502916507","https://openalex.org/W1505839237","https://openalex.org/W1512387364","https://openalex.org/W1540618313","https://openalex.org/W1584041440","https://openalex.org/W1597082186","https://openalex.org/W1977970897","https://openalex.org/W1980318031","https://openalex.org/W1982350890","https://openalex.org/W1984903982","https://openalex.org/W1999047234","https://openalex.org/W2007444087","https://openalex.org/W2022166150","https://openalex.org/W2024791376","https://openalex.org/W2037487875","https://openalex.org/W2037933327","https://openalex.org/W2048468185","https://openalex.org/W2068737686","https://openalex.org/W2081580037","https://openalex.org/W2094286023","https://openalex.org/W2103522185","https://openalex.org/W2107569009","https://openalex.org/W2110325612","https://openalex.org/W2125297418","https://openalex.org/W2127426251","https://openalex.org/W2129598390","https://openalex.org/W2132167546","https://openalex.org/W2132202037","https://openalex.org/W2138605095","https://openalex.org/W2142144955","https://openalex.org/W2155106456","https://openalex.org/W2157082398","https://openalex.org/W2158864889","https://openalex.org/W2161549461","https://openalex.org/W2161984370","https://openalex.org/W2165395308","https://openalex.org/W2167467982","https://openalex.org/W2170682101","https://openalex.org/W2184957013","https://openalex.org/W2404616656","https://openalex.org/W2950332743","https://openalex.org/W4232932184","https://openalex.org/W6601548560","https://openalex.org/W6603489203","https://openalex.org/W6604519343","https://openalex.org/W6629486361","https://openalex.org/W6629506918","https://openalex.org/W6630579473","https://openalex.org/W6676522543","https://openalex.org/W6678846912","https://openalex.org/W6679634885","https://openalex.org/W6684295950","https://openalex.org/W6686133869","https://openalex.org/W6713627118"],"related_works":["https://openalex.org/W4391024416","https://openalex.org/W3213607208","https://openalex.org/W2548786942","https://openalex.org/W2315110999","https://openalex.org/W3188047445","https://openalex.org/W4360615222","https://openalex.org/W3196405127","https://openalex.org/W4212920570","https://openalex.org/W2323350421","https://openalex.org/W2037542244"],"abstract_inverted_index":{"Much":[0],"work":[1],"has":[2],"focused":[3],"on":[4,86],"automatically":[5],"constructing":[6],"conceptual":[7,24,56,119],"taxonomies":[8,33,76],"or":[9],"semantic":[10],"networks":[11],"from":[12,78],"large":[13],"text":[14,79],"corpora.":[15,80],"In":[16],"this":[17,63],"paper,":[18],"we":[19,65],"use":[20],"a":[21,67,89],"state-of-the-art":[22],"data-driven":[23],"taxonomy,":[25],"Probase,":[26,87],"to":[27,59,71,112],"show":[28],"that":[29,38,54],"missing":[30,49,73],"links":[31,50,74],"in":[32,75],"are":[34],"the":[35,48,52,55,114,117],"chief":[36],"problem":[37],"hinders":[39],"their":[40],"adoption":[41],"by":[42],"many":[43],"real":[44],"life":[45],"applications,":[46],"for":[47],"break":[51],"inferencing":[53],"taxonomy":[57,91],"claims":[58],"support.":[60],"To":[61],"solve":[62],"problem,":[64],"devise":[66],"collaborative":[68],"filtering":[69],"framework":[70],"infer":[72],"derived":[77],"We":[81,108],"implement":[82],"our":[83],"method":[84],"mainly":[85],"creating":[88],"denser":[90],"containing":[92],"5.1":[93],"million":[94],"(about":[95],"30":[96],"percent)":[97],"more":[98],"isA":[99],"relationships,":[100],"with":[101],"an":[102],"accuracy":[103],"of":[104,116],"above":[105],"90":[106],"percent.":[107],"conduct":[109],"comprehensive":[110],"experiments":[111],"demonstrate":[113],"quality":[115],"revised":[118],"taxonomies.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}