{"id":"https://openalex.org/W2056748234","doi":"https://doi.org/10.14778/2350229.2350263","title":"CrowdER","display_name":"CrowdER","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2056748234","doi":"https://doi.org/10.14778/2350229.2350263","mag":"2056748234"},"language":"en","primary_location":{"id":"doi:10.14778/2350229.2350263","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2350229.2350263","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/A5101850961","display_name":"Jiannan Wang","orcid":"https://orcid.org/0009-0002-8978-312X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jiannan Wang","raw_affiliation_strings":["AMPLab, UC Berkeley and Tsinghua University"],"affiliations":[{"raw_affiliation_string":"AMPLab, UC Berkeley and Tsinghua University","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034086130","display_name":"Tim Kraska","orcid":"https://orcid.org/0009-0003-2414-2759"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tim Kraska","raw_affiliation_strings":["AMPLab, UC Berkeley","AMPLab, UC Berkeley#TAB#"],"affiliations":[{"raw_affiliation_string":"AMPLab, UC Berkeley","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"AMPLab, UC Berkeley#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102019638","display_name":"Michael J. Franklin","orcid":"https://orcid.org/0000-0003-3332-8574"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Franklin","raw_affiliation_strings":["AMPLab, UC Berkeley","AMPLab, UC Berkeley#TAB#"],"affiliations":[{"raw_affiliation_string":"AMPLab, UC Berkeley","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"AMPLab, UC Berkeley#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100951661","display_name":"Jianhua Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Feng","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101850961"],"corresponding_institution_ids":["https://openalex.org/I95457486","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":71.494,"has_fulltext":false,"cited_by_count":511,"citation_normalized_percentile":{"value":0.99907672,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"5","issue":"11","first_page":"1483","last_page":"1494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9988999962806702,"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/T11719","display_name":"Data Quality and Management","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.8486256003379822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8388947248458862},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6379866003990173},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6277426481246948},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6203777194023132},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5193241834640503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.416044145822525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3880227506160736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723558783531189}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8486256003379822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8388947248458862},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6379866003990173},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6277426481246948},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6203777194023132},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5193241834640503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.416044145822525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3880227506160736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723558783531189},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2350229.2350263","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2350229.2350263","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W1551839888","https://openalex.org/W1582775886","https://openalex.org/W1977810318","https://openalex.org/W1981590391","https://openalex.org/W2008469033","https://openalex.org/W2020740057","https://openalex.org/W2031250218","https://openalex.org/W2055515830","https://openalex.org/W2065259291","https://openalex.org/W2067566391","https://openalex.org/W2069897123","https://openalex.org/W2097776316","https://openalex.org/W2098865355","https://openalex.org/W2108991785","https://openalex.org/W2117255974","https://openalex.org/W2119320829","https://openalex.org/W2121516976","https://openalex.org/W2127008633","https://openalex.org/W2131565021","https://openalex.org/W2138965424","https://openalex.org/W2144946856","https://openalex.org/W2145492473","https://openalex.org/W2157054705","https://openalex.org/W2164456230","https://openalex.org/W2168144930"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Entity":[0],"resolution":[1],"is":[2,59,131],"central":[3],"to":[4,33,49,69,75,90,104,180],"data":[5,8,62,158],"integration":[6],"and":[7,100,149,176],"cleaning.":[9],"Algorithmic":[10],"approaches":[11],"have":[12],"been":[13],"improving":[14],"in":[15,85],"quality,":[16],"but":[17,28,52,133],"remain":[18],"far":[19],"from":[20],"perfect.":[21],"Crowdsourcing":[22],"platforms":[23],"offer":[24],"a":[25,56,81,117,128,136,161],"more":[26],"accurate":[27],"expensive":[29],"(and":[30],"slow)":[31],"way":[32],"bring":[34],"human":[35,50],"insight":[36],"into":[37],"the":[38,70,98,107,121,151],"process.":[39],"Previous":[40],"work":[41],"has":[42],"proposed":[43],"batching":[44],"verification":[45,125],"tasks":[46,126],"for":[47,61,115,141],"presentation":[48],"workers":[51],"even":[53,65],"with":[54],"batching,":[55],"human-only":[57,183],"approach":[58,84,140,171],"infeasible":[60],"sets":[63,159],"of":[64,73,124,127,153],"moderate":[66],"size,":[67],"due":[68],"large":[71],"numbers":[72],"matches":[74],"be":[76],"tested.":[77],"Instead,":[78],"we":[79,134],"propose":[80],"hybrid":[82,118,170],"human-machine":[83],"which":[86],"machines":[87],"are":[88,102],"used":[89,103],"do":[91],"an":[92],"initial,":[93],"coarse":[94],"pass":[95],"over":[96],"all":[97],"data,":[99],"people":[101],"verify":[105],"only":[106],"most":[108],"likely":[109],"matching":[110],"pairs.":[111],"We":[112,145],"show":[113,167],"that":[114,168],"such":[116],"system,":[119],"generating":[120],"minimum":[122],"number":[123],"given":[129],"size":[130],"NP-Hard,":[132],"develop":[135],"novel":[137],"two-tiered":[138],"heuristic":[139],"creating":[142],"batched":[143],"tasks.":[144],"describe":[146],"this":[147],"method,":[148],"present":[150],"results":[152],"extensive":[154],"experiments":[155,166],"on":[156],"real":[157],"using":[160],"popular":[162],"crowdsourcing":[163],"platform.":[164],"The":[165],"our":[169],"achieves":[172],"both":[173],"good":[174],"efficiency":[175],"high":[177],"accuracy":[178],"compared":[179],"machine-only":[181],"or":[182],"alternatives.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":43},{"year":2020,"cited_by_count":36},{"year":2019,"cited_by_count":55},{"year":2018,"cited_by_count":70},{"year":2017,"cited_by_count":53},{"year":2016,"cited_by_count":50},{"year":2015,"cited_by_count":50},{"year":2014,"cited_by_count":52},{"year":2013,"cited_by_count":34},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2016-06-24T00:00:00"}
