{"id":"https://openalex.org/W1975939770","doi":"https://doi.org/10.1145/2348283.2348446","title":"Watson","display_name":"Watson","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W1975939770","doi":"https://doi.org/10.1145/2348283.2348446","mag":"1975939770"},"language":"en","primary_location":{"id":"doi:10.1145/2348283.2348446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5075159988","display_name":"Eric W. Brown","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric W. Brown","raw_affiliation_strings":["IBM TJ Watson Research Center, Hathorne, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Hathorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075159988"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1020","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.28619998693466187,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.28619998693466187,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/watson","display_name":"Watson","score":0.9725755453109741},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.6290670037269592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6175650954246521},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5181506872177124},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46861156821250916},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.46567270159721375},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4464763402938843},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4102541208267212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3174775242805481},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13763678073883057},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10204923152923584}],"concepts":[{"id":"https://openalex.org/C2776608531","wikidata":"https://www.wikidata.org/wiki/Q12253","display_name":"Watson","level":2,"score":0.9725755453109741},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.6290670037269592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175650954246521},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5181506872177124},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46861156821250916},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.46567270159721375},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4464763402938843},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4102541208267212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3174775242805481},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13763678073883057},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10204923152923584},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2348283.2348446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2151363515","https://openalex.org/W2902037120","https://openalex.org/W3174693904","https://openalex.org/W2313409890","https://openalex.org/W2244083478","https://openalex.org/W4232759540","https://openalex.org/W2560584003","https://openalex.org/W1035030678","https://openalex.org/W1986704677","https://openalex.org/W4281622825"],"abstract_inverted_index":{"Watson,":[0,7],"named":[1],"after":[2],"IBM":[3,14],"founder":[4],"Thomas":[5],"J.":[6],"was":[8],"built":[9],"by":[10],"a":[11,21,24,29,93],"team":[12],"of":[13,52,68,131,146],"researchers":[15],"who":[16],"set":[17],"out":[18],"to":[19,32],"accomplish":[20],"grand":[22,126],"challenge-build":[23],"computing":[25],"system":[26],"that":[27],"rivals":[28],"human's":[30],"ability":[31],"answer":[33],"questions":[34],"posed":[35],"in":[36,71,92,103,113],"natural":[37,69,107],"language":[38,70,108],"with":[39],"speed,":[40],"accuracy":[41],"and":[42,65,75,110,115,133,142],"confidence.":[43],"The":[44],"quiz":[45],"show":[46],"Jeopardy!":[47,125],"provided":[48],"the":[49,56,87,98,105,124,134],"ultimate":[50],"test":[51,83,100],"this":[53,119,147],"technology":[54,112,136],"because":[55],"game's":[57],"clues":[58],"involve":[59],"analyzing":[60],"subtle":[61],"meaning,":[62],"irony,":[63],"riddles":[64],"other":[66],"complexities":[67],"which":[72,138],"humans":[73],"excel":[74],"computers":[76],"traditionally":[77],"fail.":[78],"Watson":[79,132,139],"passed":[80],"its":[81],"first":[82],"on":[84],"Jeopardy!,":[85],"beating":[86],"show's":[88],"two":[89],"greatest":[90],"champions":[91],"televised":[94],"exhibition":[95],"match,":[96],"but":[97],"real":[99],"will":[101,122],"be":[102],"applying":[104],"underlying":[106],"processing":[109],"analytics":[111],"business":[114],"across":[116],"industries.":[117],"In":[118],"talk":[120],"I":[121],"introduce":[123],"challenge,":[127],"present":[128],"an":[129],"overview":[130],"DeepQA":[135],"upon":[137],"is":[140],"built,":[141],"explore":[143],"future":[144],"applications":[145],"technology.":[148]},"counts_by_year":[{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
