{"id":"https://openalex.org/W2303476400","doi":"https://doi.org/10.1109/tkde.2016.2535383","title":"Aggregating Crowdsourced Quantitative Claims: Additive and Multiplicative Models","display_name":"Aggregating Crowdsourced Quantitative Claims: Additive and Multiplicative Models","publication_year":2016,"publication_date":"2016-02-29","ids":{"openalex":"https://openalex.org/W2303476400","doi":"https://doi.org/10.1109/tkde.2016.2535383","mag":"2303476400"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2535383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2535383","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/A5109229971","display_name":"Robin Wentao Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Robin Wentao Ouyang","raw_affiliation_strings":["CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022713560","display_name":"Lance Kaplan","orcid":"https://orcid.org/0000-0002-3627-4471"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lance M. Kaplan","raw_affiliation_strings":["Networked Sensing & Fusion Branch, US Army Research Laboratory, Adelphi, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Networked Sensing & Fusion Branch, US Army Research Laboratory, Adelphi, MD","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069317219","display_name":"Alice Toniolo","orcid":"https://orcid.org/0000-0002-6816-6360"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alice Toniolo","raw_affiliation_strings":["Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074563122","display_name":"Mani Srivastava","orcid":"https://orcid.org/0000-0002-3782-9192"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mani Srivastava","raw_affiliation_strings":["Department of Electrical Engineering and the Department of Computer Science, University of California, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and the Department of Computer Science, University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004387717","display_name":"Timothy J. Norman","orcid":"https://orcid.org/0000-0002-6387-4034"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy J. Norman","raw_affiliation_strings":["Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom","institution_ids":["https://openalex.org/I195460627"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.2968,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96912714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":"7","first_page":"1621","last_page":"1634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9819999933242798,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9664000272750854,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.8651164770126343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7273805141448975},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5773547887802124},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5627167820930481},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.522314727306366},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.5042406320571899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47506067156791687},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4635436236858368},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3988703191280365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3713298738002777},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3372095227241516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3244011402130127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.159015953540802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15212851762771606},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11805832386016846},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09616455435752869}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8651164770126343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273805141448975},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5773547887802124},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5627167820930481},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.522314727306366},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.5042406320571899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47506067156791687},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4635436236858368},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3988703191280365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3713298738002777},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3372095227241516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3244011402130127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.159015953540802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15212851762771606},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11805832386016846},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09616455435752869},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2016.2535383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2535383","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:eprints.soton.ac.uk:413293","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/413293/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6067474994","display_name":null,"funder_award_id":"CNS-1213140","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"},{"id":"https://openalex.org/F4320308476","display_name":"Association of Research Libraries","ror":"https://ror.org/053mpbz30"},{"id":"https://openalex.org/F4320324890","display_name":"Ministry of Defense","ror":"https://ror.org/04wxm6g36"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W1541280084","https://openalex.org/W1553085258","https://openalex.org/W1663973292","https://openalex.org/W1667830255","https://openalex.org/W1713409046","https://openalex.org/W1973200191","https://openalex.org/W1977069908","https://openalex.org/W1986011019","https://openalex.org/W1988511622","https://openalex.org/W2012638909","https://openalex.org/W2058179030","https://openalex.org/W2103491965","https://openalex.org/W2104626092","https://openalex.org/W2118388899","https://openalex.org/W2123175289","https://openalex.org/W2123326341","https://openalex.org/W2124499489","https://openalex.org/W2127008633","https://openalex.org/W2131369712","https://openalex.org/W2134305421","https://openalex.org/W2135935434","https://openalex.org/W2142518823","https://openalex.org/W2149273804","https://openalex.org/W2151401338","https://openalex.org/W2152220769","https://openalex.org/W2155189155","https://openalex.org/W2163361328","https://openalex.org/W2169585110","https://openalex.org/W2169882833","https://openalex.org/W2170989440","https://openalex.org/W2320535545","https://openalex.org/W2594639291","https://openalex.org/W3023003447","https://openalex.org/W3124258878","https://openalex.org/W4229530126","https://openalex.org/W4253271685","https://openalex.org/W4255783720","https://openalex.org/W6637064631","https://openalex.org/W6647490096","https://openalex.org/W6679959949","https://openalex.org/W6680957539","https://openalex.org/W6682171051","https://openalex.org/W6684172481"],"related_works":["https://openalex.org/W2250285363","https://openalex.org/W2584532118","https://openalex.org/W38394648","https://openalex.org/W2290964183","https://openalex.org/W2186284405","https://openalex.org/W1905155149","https://openalex.org/W4288474950","https://openalex.org/W2794045997","https://openalex.org/W4220812971","https://openalex.org/W2349125667"],"abstract_inverted_index":{"Truth":[0,99],"discovery":[1,26,63,104,192],"is":[2],"an":[3,112],"important":[4],"technique":[5],"for":[6,61,102,190],"enabling":[7],"reliable":[8],"crowdsourcing":[9,107,195],"applications.":[10,108],"It":[11],"aims":[12],"to":[13,48,122,158],"automatically":[14],"discover":[15],"the":[16,40,50,116,142,149,152,156],"truths":[17,87,131,174],"from":[18],"possibly":[19],"conflicting":[20],"crowdsourced":[21,83,127],"claims.":[22],"Most":[23],"existing":[24],"truth":[25,62,103,191],"approaches":[27,189],"focus":[28],"on":[29],"<italic":[30,65],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,66],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">categorical</i>":[32],"applications,":[33,68],"such":[34,69],"as":[35,70],"image":[36],"classification.":[37],"They":[38],"use":[39,148],"accuracy,":[41],"i.e.,":[42],"rate":[43],"of":[44,52,135,155,170],"exactly":[45],"correct":[46],"claims,":[47],"capture":[49,123,159],"reliability":[51],"participants.":[53],"As":[54],"a":[55,119],"consequence,":[56],"they":[57,147,198],"are":[58,167,199],"not":[59],"effective":[60],"in":[64,105,132,162,175,193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">quantitative</i>":[67],"percentage":[71],"annotation":[72],"and":[73,85,115,129,151,197],"object":[74],"counting,":[75],"where":[76],"similarity":[77,143],"rather":[78],"than":[79],"exact":[80],"matching":[81],"between":[82,126,144],"claims":[84,128],"latent":[86,130],"should":[88],"be":[89],"considered.":[90],"In":[91],"this":[92],"paper,":[93],"we":[94,181],"propose":[95],"two":[96],"unsupervised":[97],"Quantitative":[98],"Finders":[100],"(QTFs)":[101],"quantitative":[106,136,173,194],"One":[109],"QTF":[110],"explores":[111,118],"additive":[113],"model":[114,121],"other":[117,187],"multiplicative":[120],"different":[124,133],"relationships":[125],"classes":[134],"tasks.":[137],"These":[138,165],"QTFs":[139,166,185],"naturally":[140],"incorporate":[141],"variables.":[145],"Moreover,":[146],"bias":[150],"confidence":[153],"instead":[154],"accuracy":[157],"participants\u2019":[160],"abilities":[161],"quantity":[163],"estimation.":[164],"thus":[168],"capable":[169],"accurately":[171],"discovering":[172],"particular":[176],"domains.":[177],"Through":[178],"extensive":[179],"experiments,":[180],"demonstrate":[182],"that":[183],"these":[184],"outperform":[186],"state-of-the-art":[188],"applications":[196],"also":[200],"quite":[201],"efficient.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}