{"id":"https://openalex.org/W2946281890","doi":"https://doi.org/10.1145/3308560.3316749","title":"Learning to Map Wikidata Entities To Predefined Topics","display_name":"Learning to Map Wikidata Entities To Predefined Topics","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2946281890","doi":"https://doi.org/10.1145/3308560.3316749","mag":"2946281890"},"language":"en","primary_location":{"id":"doi:10.1145/3308560.3316749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3316749","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308560.3316749","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001782831","display_name":"Preeti Bhargava","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Preeti Bhargava","raw_affiliation_strings":["Demandbase, San Francisco, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Demandbase, San Francisco, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015501509","display_name":"Nemanja Spasojevic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nemanja Spasojevic","raw_affiliation_strings":["Youtube, San Bruno, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Youtube, San Bruno, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029707522","display_name":"Sarah Ellinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarah Ellinger","raw_affiliation_strings":["Juul Labs, San Francisco, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Juul Labs, San Francisco, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046414714","display_name":"Adithya Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148872","display_name":"Magic Leap (United States)","ror":"https://ror.org/058j17k65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adithya Rao","raw_affiliation_strings":["Magic Leap, Sunnyvale, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Magic Leap, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210148872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061047345","display_name":"Abhinand Menon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abhinand Menon","raw_affiliation_strings":["Beeswax, New York, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beeswax, New York, NY","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064173132","display_name":"Saul Fuhrmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saul Fuhrmann","raw_affiliation_strings":["Lime Bikes, San Francisco, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lime Bikes, San Francisco, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112457807","display_name":"Guoning Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoning Hu","raw_affiliation_strings":["Amazon, Sunnyvale, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, Sunnyvale, CA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6561,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74177141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1194","last_page":"1202"},"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/T12478","display_name":"Wikis in Education and Collaboration","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9957000017166138,"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":0.8909013867378235},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.7126221656799316},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6486691236495972},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5501337051391602},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5384781956672668},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5359514355659485},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5202704071998596},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5129696726799011},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4335401654243469},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4090126156806946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3402732014656067},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0730164647102356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8909013867378235},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.7126221656799316},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6486691236495972},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5501337051391602},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5384781956672668},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5359514355659485},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5202704071998596},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5129696726799011},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4335401654243469},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4090126156806946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3402732014656067},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0730164647102356},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1145/3308560.3316749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3316749","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308560.3316749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3316749","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W86887328","https://openalex.org/W785060174","https://openalex.org/W1172683740","https://openalex.org/W1498941143","https://openalex.org/W1880262756","https://openalex.org/W1899116073","https://openalex.org/W2043252224","https://openalex.org/W2066102342","https://openalex.org/W2098401485","https://openalex.org/W2120844411","https://openalex.org/W2150130793","https://openalex.org/W2165266976","https://openalex.org/W2165306248","https://openalex.org/W2166305731","https://openalex.org/W2250539671","https://openalex.org/W2508226356","https://openalex.org/W2594424805","https://openalex.org/W2604368220","https://openalex.org/W2604853844","https://openalex.org/W2766394103","https://openalex.org/W2962896386","https://openalex.org/W3099661014","https://openalex.org/W4231510805"],"related_works":["https://openalex.org/W2358294942","https://openalex.org/W1541691357","https://openalex.org/W2090135255","https://openalex.org/W2168409722","https://openalex.org/W2782437235","https://openalex.org/W4387163706","https://openalex.org/W2548972888","https://openalex.org/W2026505290","https://openalex.org/W1993715838","https://openalex.org/W2359088421"],"abstract_inverted_index":{"Recently":[0],"much":[1,159],"progress":[2],"has":[3],"been":[4],"made":[5],"in":[6,25],"entity":[7,31,116],"disambiguation":[8],"and":[9,21,118,157],"linking":[10],"systems":[11],"(EDL).":[12],"Given":[13],"a":[14,26,33,63,73,88,100],"piece":[15],"of":[16,66,103,139],"text,":[17],"EDL":[18],"links":[19],"words":[20],"phrases":[22],"to":[23,46,59,72,86,94,108,136],"entities":[24,38,93,107],"knowledge":[27],"base,":[28],"where":[29],"each":[30],"defines":[32],"specific":[34,45],"concept.":[35],"Although":[36],"extracted":[37],"are":[39,42,128],"informative,":[40],"they":[41],"often":[43,123],"too":[44],"be":[47,60],"used":[48],"directly":[49],"by":[50],"many":[51],"applications.":[52],"These":[53,121],"applications":[54],"usually":[55],"require":[56],"text":[57],"content":[58],"represented":[61],"with":[62,163],"smaller":[64],"set":[65],"predefined":[67,96],"concepts":[68],"or":[69],"topics,":[70,109],"belonging":[71],"topical":[74],"taxonomy,":[75],"that":[76,90,105,127,152],"matches":[77],"their":[78],"exact":[79],"needs.":[80],"In":[81],"this":[82],"study,":[83],"we":[84,147],"aim":[85],"build":[87],"system":[89,151],"maps":[91],"Wikidata":[92,113],"such":[95],"topics.":[97],"We":[98],"explore":[99],"wide":[101],"range":[102],"methods":[104,122,156],"map":[106],"including":[110],"GloVe":[111],"similarity,":[112],"predicates,":[114],"Wikipedia":[115],"definitions,":[117],"entity-topic":[119,125],"co-occurrences.":[120],"predict":[124],"mappings":[126],"reliable,":[129],"i.e.,":[130,142],"have":[131,143],"high":[132],"precision,":[133],"but":[134],"tend":[135],"miss":[137],"most":[138],"the":[140],"mappings,":[141],"low":[144],"recall.":[145],"Therefore,":[146],"propose":[148],"an":[149],"ensemble":[150],"effectively":[153],"combines":[154],"individual":[155],"yields":[158],"better":[160],"performance,":[161],"comparable":[162],"human":[164],"annotators.":[165]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}