{"id":"https://openalex.org/W2290431464","doi":"https://doi.org/10.14778/2735496.2735505","title":"A confidence-aware approach for truth discovery on long-tail data","display_name":"A confidence-aware approach for truth discovery on long-tail data","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2290431464","doi":"https://doi.org/10.14778/2735496.2735505","mag":"2290431464"},"language":"en","primary_location":{"id":"doi:10.14778/2735496.2735505","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2735496.2735505","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/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"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qi Li","raw_affiliation_strings":["SUNY Buffalo, Buffalo, NY"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","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"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaliang Li","raw_affiliation_strings":["SUNY Buffalo, Buffalo, NY"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781385","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0001-5099-6991"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"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":["SUNY Buffalo, Buffalo, NY"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732938","display_name":"L\u00fc Su","orcid":"https://orcid.org/0000-0001-7223-543X"},"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"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Su","raw_affiliation_strings":["SUNY Buffalo, Buffalo, NY"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055778766","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0002-3799-9183"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Zhao","raw_affiliation_strings":["Microsoft Research, Mountain View, CA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Mountain View, CA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101800282","display_name":"Murat Demirba\u015f","orcid":"https://orcid.org/0000-0001-7952-9035"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"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":"Murat Demirbas","raw_affiliation_strings":["SUNY Buffalo, Buffalo, NY"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"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/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fan","raw_affiliation_strings":["Huawei Noah's Ark Lab, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Hong Kong","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana, IL","institution_ids":["https://openalex.org/I2801919071"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100350205"],"corresponding_institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":29.4489,"has_fulltext":false,"cited_by_count":346,"citation_normalized_percentile":{"value":0.99635194,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"8","issue":"4","first_page":"425","last_page":"436"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9927999973297119,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9904999732971191,"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":0.7369779348373413},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6925790309906006},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6491754055023193},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.601992130279541},{"id":"https://openalex.org/keywords/discounting","display_name":"Discounting","score":0.4961584508419037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4214992821216583},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3498517870903015},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32516029477119446},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09344980120658875},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06589365005493164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7369779348373413},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6925790309906006},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6491754055023193},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.601992130279541},{"id":"https://openalex.org/C6177178","wikidata":"https://www.wikidata.org/wiki/Q10998070","display_name":"Discounting","level":2,"score":0.4961584508419037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4214992821216583},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3498517870903015},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32516029477119446},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09344980120658875},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06589365005493164},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/2735496.2735505","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2735496.2735505","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.667.1244","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.667.1244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/vol8/p425-li.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W4175336","https://openalex.org/W76788353","https://openalex.org/W1521736627","https://openalex.org/W1545761598","https://openalex.org/W1667830255","https://openalex.org/W1713409046","https://openalex.org/W1728753295","https://openalex.org/W1979101951","https://openalex.org/W2000042664","https://openalex.org/W2048716023","https://openalex.org/W2073545563","https://openalex.org/W2086413055","https://openalex.org/W2086921236","https://openalex.org/W2105268242","https://openalex.org/W2110411158","https://openalex.org/W2118388899","https://openalex.org/W2125943921","https://openalex.org/W2142003896","https://openalex.org/W2142518823","https://openalex.org/W2144242878","https://openalex.org/W2149273804","https://openalex.org/W2152009989","https://openalex.org/W2159296364","https://openalex.org/W2162237605","https://openalex.org/W2162815002","https://openalex.org/W2164729653","https://openalex.org/W2169585110","https://openalex.org/W2251214202","https://openalex.org/W2276146857","https://openalex.org/W2278337674","https://openalex.org/W2294688454","https://openalex.org/W2295240344","https://openalex.org/W2296319761","https://openalex.org/W2408493841","https://openalex.org/W2536326527","https://openalex.org/W2786418370","https://openalex.org/W2951943777","https://openalex.org/W3103362336","https://openalex.org/W6603101531","https://openalex.org/W6682171051","https://openalex.org/W6682675497","https://openalex.org/W6747823444","https://openalex.org/W7029391333"],"related_works":["https://openalex.org/W90316445","https://openalex.org/W2348852664","https://openalex.org/W4206316684","https://openalex.org/W4311335936","https://openalex.org/W4327743613","https://openalex.org/W3199750033","https://openalex.org/W1515431846","https://openalex.org/W2374509987","https://openalex.org/W3163373470","https://openalex.org/W2069442643"],"abstract_inverted_index":{"In":[0],"many":[1],"real":[2,178,191],"world":[3,192],"applications,":[4],"the":[5,39,45,60,85,90,97,102,123,166,170,203,215],"same":[6],"item":[7],"may":[8],"be":[9,131],"described":[10],"by":[11,212],"multiple":[12],"sources.":[13,219],"As":[14],"a":[15,51,109,114,139],"consequence,":[16],"conflicts":[17],"among":[18],"these":[19],"sources":[20,106,116,129,182],"are":[21],"inevitable,":[22],"which":[23,32,121],"leads":[24],"to":[25,30,79,130,145],"an":[26],"important":[27],"task:":[28],"how":[29],"identify":[31],"piece":[33,46],"of":[34,47,119,169,186,217],"information":[35,48,65,88],"is":[36,49,56,66],"trustworthy,":[37,58],"i.e.,":[38,104],"truth":[40,73,141,209],"discovery":[41,74,142,210],"task.":[42],"Intuitively,":[43],"if":[44],"from":[50,149],"reliable":[52],"source,":[53],"then":[54],"it":[55,174],"more":[57,67],"and":[59,84,112],"source":[61,81,124,161,179],"that":[62,173,202],"provides":[63],"trustworthy":[64,87],"reliable.":[68],"Based":[69],"on":[70,189],"this":[71,135],"principle,":[72],"approaches":[75,95,211],"have":[76],"been":[77],"proposed":[78,156,204],"infer":[80],"reliability":[82,125,180],"degrees":[83],"most":[86,105],"(i.e.,":[89],"truth)":[91],"simultaneously.":[92],"However,":[93],"existing":[94,207],"overlook":[96],"ubiquitous":[98],"long-tail":[99,153,199],"phenomenon":[100],"in":[101],"tasks,":[103],"only":[107,113,159],"provide":[108],"few":[110,115],"claims":[111],"make":[117],"plenty":[118],"claims,":[120],"causes":[122],"estimation":[126],"for":[127,181],"small":[128,218],"unreasonable.":[132],"To":[133],"tackle":[134],"challenge,":[136],"we":[137],"propose":[138],"confidence-aware":[140],"(CATD)":[143],"method":[144,157,205],"automatically":[146],"detect":[147],"truths":[148],"conflicting":[150],"data":[151],"with":[152,183],"phenomenon.":[154],"The":[155],"not":[158],"estimates":[160],"reliability,":[162],"but":[163],"also":[164],"considers":[165],"confidence":[167],"interval":[168],"estimation,":[171],"so":[172],"can":[175],"effectively":[176],"reflect":[177],"various":[184],"levels":[185],"participation.":[187],"Experiments":[188],"four":[190],"tasks":[193],"as":[194,196],"well":[195],"simulated":[197],"multi-source":[198],"datasets":[200],"demonstrate":[201],"outperforms":[206],"state-of-the-art":[208],"successful":[213],"discounting":[214],"effect":[216]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":41},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":53},{"year":2018,"cited_by_count":41},{"year":2017,"cited_by_count":31},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":14}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
