{"id":"https://openalex.org/W2523625823","doi":"https://doi.org/10.1109/tbdata.2016.2612236","title":"Extracting Medical Knowledge from Crowdsourced Question Answering Website","display_name":"Extracting Medical Knowledge from Crowdsourced Question Answering Website","publication_year":2016,"publication_date":"2016-09-21","ids":{"openalex":"https://openalex.org/W2523625823","doi":"https://doi.org/10.1109/tbdata.2016.2612236","mag":"2523625823"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2016.2612236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2016.2612236","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","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/A5046576694","display_name":"Yaliang Li","orcid":"https://orcid.org/0000-0002-4204-6096"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yaliang Li","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo"],"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013268903","display_name":"Chaochun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochun Liu","raw_affiliation_strings":["Baidu Research Big Data Lab, Sunnyvale"],"affiliations":[{"raw_affiliation_string":"Baidu Research Big Data Lab, Sunnyvale","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721790","display_name":"Nan Du","orcid":"https://orcid.org/0000-0003-2855-7452"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Du","raw_affiliation_strings":["Baidu Research Big Data Lab, Sunnyvale"],"affiliations":[{"raw_affiliation_string":"Baidu Research Big Data Lab, Sunnyvale","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380588","display_name":"Wei Fan","orcid":"https://orcid.org/0009-0008-1900-7081"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fan","raw_affiliation_strings":["Baidu Research Big Data Lab, Sunnyvale"],"affiliations":[{"raw_affiliation_string":"Baidu Research Big Data Lab, Sunnyvale","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350205","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-3136-2157"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo"],"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781384","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0001-5083-2241"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Gao","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo"],"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017147857","display_name":"Chenwei Zhang","orcid":"https://orcid.org/0000-0002-0488-4603"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenwei Zhang","raw_affiliation_strings":["University of Illinois at Chicago, Chicago"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047737556","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-4138-1239"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["University of Southern California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5046576694"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":4.6444,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95151993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"6","issue":"2","first_page":"309","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10028","display_name":"Topic Modeling","score":0.9986000061035156,"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":0.795906662940979},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6920581459999084},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6709113121032715},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6663755178451538},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.630408763885498},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5382027626037598},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5150609016418457},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4550500810146332},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4215850830078125},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34915685653686523},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3460456132888794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31693947315216064},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09466749429702759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795906662940979},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6920581459999084},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6709113121032715},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6663755178451538},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.630408763885498},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5382027626037598},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5150609016418457},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4550500810146332},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4215850830078125},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34915685653686523},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3460456132888794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31693947315216064},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09466749429702759},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2016.2612236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2016.2612236","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7659938461","display_name":null,"funder_award_id":"IIS-1553411","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1521736627","https://openalex.org/W1541280084","https://openalex.org/W1565102206","https://openalex.org/W1667830255","https://openalex.org/W1972703786","https://openalex.org/W2013787102","https://openalex.org/W2016753842","https://openalex.org/W2022149269","https://openalex.org/W2035336846","https://openalex.org/W2037858832","https://openalex.org/W2057415299","https://openalex.org/W2064436096","https://openalex.org/W2071309374","https://openalex.org/W2072055539","https://openalex.org/W2073545563","https://openalex.org/W2086413055","https://openalex.org/W2102956348","https://openalex.org/W2107254606","https://openalex.org/W2117130368","https://openalex.org/W2118388899","https://openalex.org/W2129251351","https://openalex.org/W2131462252","https://openalex.org/W2153579005","https://openalex.org/W2155160033","https://openalex.org/W2155189155","https://openalex.org/W2159296364","https://openalex.org/W2161152375","https://openalex.org/W2169585110","https://openalex.org/W2251456342","https://openalex.org/W2252219614","https://openalex.org/W2290431464","https://openalex.org/W2293198446","https://openalex.org/W2294688454","https://openalex.org/W4230673375","https://openalex.org/W4241569833","https://openalex.org/W4294170691","https://openalex.org/W6637064631","https://openalex.org/W6679224782","https://openalex.org/W6682691769","https://openalex.org/W6691420595","https://openalex.org/W6691653674","https://openalex.org/W6697042849","https://openalex.org/W6697143862"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"The":[0,23,136,189],"medical":[1,28,52,75,170,208,228],"crowdsourced":[2,29,209],"question":[3],"answering":[4],"(Q&A)":[5],"websites":[6,31,48,77],"are":[7,21],"booming":[8],"in":[9,168,186],"recent":[10],"years,":[11],"and":[12,19,36,59,119,153,182,215,230],"an":[13],"increasingly":[14],"large":[15],"amount":[16],"of":[17,45,71,151,176,204],"patients":[18,250],"doctors":[20,35,128],"involved.":[22],"valuable":[24],"information":[25,72],"from":[26,54,114,156,198],"these":[27,46,133],"Q&A":[30,47,76,134,210],"can":[32,107,224,247],"benefit":[33],"patients,":[34],"the":[37,43,55,68,91,115,121,127,157,169,183,187,205,220],"society.":[38],"One":[39],"key":[40],"to":[41,50,82,90,194,252],"unleash":[42],"power":[44],"is":[49,80,139,192],"extract":[51],"knowledge":[53,111,171,229],"noisy":[56,116,177],"question-answer":[57,117],"pairs":[58],"filter":[60],"out":[61],"unrelated":[62],"or":[63],"even":[64],"incorrect":[65],"information.":[66],"Facing":[67],"daunting":[69],"scale":[70],"generated":[73],"on":[74,132],"everyday,":[78],"it":[79],"unrealistic":[81],"fulfill":[83],"this":[84,96],"task":[85],"via":[86],"supervised":[87],"method":[88],"due":[89],"expensive":[92],"annotation":[93],"cost.":[94],"In":[95],"paper,":[97],"we":[98,147],"propose":[99],"a":[100,142,237],"Medical":[101],"Knowledge":[102],"Extraction":[103],"(MKE)":[104],"system":[105,138,191,223],"that":[106,219],"automatically":[108,248],"provide":[109,226],"high-quality":[110],"triples":[112],"extracted":[113],"pairs,":[118],"at":[120],"same":[122],"time,":[123],"estimate":[124,149],"expertise":[125,155],"for":[126],"who":[129],"give":[130,249],"answers":[131,152],"websites.":[135,211],"MKE":[137,190,222],"built":[140],"upon":[141],"truth":[143],"discovery":[144],"framework,":[145],"where":[146],"jointly":[148],"trustworthiness":[150],"doctor":[154,232],"data":[158],"without":[159],"any":[160],"supervision.":[161],"We":[162,234],"further":[163,235],"tackle":[164],"three":[165],"unique":[166],"challenges":[167],"extraction":[172],"task,":[173],"namely":[174],"representation":[175],"input,":[178],"multiple":[179],"linked":[180],"truths,":[181],"long-tail":[184],"phenomenon":[185],"data.":[188],"applied":[193],"real-world":[195,238],"datasets":[196],"crawled":[197],"<uri":[199],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[200,241],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">xywy.com</uri>":[201],",":[202,245],"one":[203],"most":[206],"popular":[207],"Both":[212],"quantitative":[213],"evaluation":[214],"case":[216],"studies":[217],"demonstrate":[218,236],"proposed":[221],"successfully":[225],"useful":[227],"accurate":[231],"expertise.":[233],"application,":[239],"<italic":[240],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Ask":[242],"A":[243],"Doctor</i>":[244],"which":[246],"suggestions":[251],"their":[253],"questions.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}