{"id":"https://openalex.org/W2082424685","doi":"https://doi.org/10.1145/2463676.2465309","title":"Determining the relative accuracy of attributes","display_name":"Determining the relative accuracy of attributes","publication_year":2013,"publication_date":"2013-06-22","ids":{"openalex":"https://openalex.org/W2082424685","doi":"https://doi.org/10.1145/2463676.2465309","mag":"2082424685"},"language":"en","primary_location":{"id":"doi:10.1145/2463676.2465309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2465309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-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/A5101426208","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0001-7984-3219"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Yang Cao","raw_affiliation_strings":["School of Informatics, University of Edinburgh; Big Data Research Center and SKLSDE Lab, Beihang University, Beijing, China","School of Informatics, University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh; Big Data Research Center and SKLSDE Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Informatics, University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070565287","display_name":"Wenfei Fan","orcid":"https://orcid.org/0000-0001-5149-2656"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenfei Fan","raw_affiliation_strings":["School of Informatics, University of Edinburgh; Big Data Research Center and SKLSDE Lab, Beihang University, Edinburgh, United Kingdom","School of Informatics, University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh; Big Data Research Center and SKLSDE Lab, Beihang University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"School of Informatics, University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032456107","display_name":"Wenyuan Yu","orcid":"https://orcid.org/0000-0002-2917-5993"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenyuan Yu","raw_affiliation_strings":["School of Informatics, University of Edinburgh, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101426208"],"corresponding_institution_ids":["https://openalex.org/I82880672","https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":9.4138,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97980341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"565","last_page":"576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/tuple","display_name":"Tuple","score":0.8763992786407471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317560911178589},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6895976066589355},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.596523106098175},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5684080719947815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5443127155303955},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5421226620674133},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4650614857673645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45542967319488525},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.42995941638946533},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4192157983779907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.347720742225647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27089327573776245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2073667347431183},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08866181969642639}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.8763992786407471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317560911178589},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6895976066589355},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.596523106098175},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5684080719947815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5443127155303955},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5421226620674133},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4650614857673645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45542967319488525},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.42995941638946533},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4192157983779907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.347720742225647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27089327573776245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2073667347431183},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08866181969642639},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2463676.2465309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2465309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/77903c5a-dde3-4794-a093-c4aaf7c33401","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/77903c5a-dde3-4794-a093-c4aaf7c33401","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1361453996","display_name":null,"funder_award_id":"91118008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G146393030","display_name":null,"funder_award_id":"2011CB302602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G361948359","display_name":null,"funder_award_id":"EPSRC EP","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5848258319","display_name":null,"funder_award_id":"0 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6177271572","display_name":"Querying Graph Structured Data: Principles and Techniques","funder_award_id":"EP/J015377/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6262373228","display_name":null,"funder_award_id":"J015377","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8074621994","display_name":null,"funder_award_id":"61133002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8103256838","display_name":null,"funder_award_id":"2012CB316200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8785880241","display_name":null,"funder_award_id":"2012CB316200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1486776102","https://openalex.org/W1531280030","https://openalex.org/W1539265392","https://openalex.org/W1546239279","https://openalex.org/W1558832481","https://openalex.org/W1626378195","https://openalex.org/W1700279323","https://openalex.org/W1806329564","https://openalex.org/W1967167578","https://openalex.org/W1980706971","https://openalex.org/W1995099886","https://openalex.org/W2003684739","https://openalex.org/W2009688537","https://openalex.org/W2016179297","https://openalex.org/W2035750294","https://openalex.org/W2046977065","https://openalex.org/W2055452079","https://openalex.org/W2090624037","https://openalex.org/W2099637074","https://openalex.org/W2108991785","https://openalex.org/W2118388899","https://openalex.org/W2133497566","https://openalex.org/W2133863472","https://openalex.org/W2143682328","https://openalex.org/W2147805208","https://openalex.org/W2159296364","https://openalex.org/W2169585110","https://openalex.org/W2171332293","https://openalex.org/W2295240344","https://openalex.org/W2666600683","https://openalex.org/W4206031975","https://openalex.org/W6633513001","https://openalex.org/W6654495597"],"related_works":["https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W1979740464","https://openalex.org/W2143345456","https://openalex.org/W2138823233","https://openalex.org/W1789991335","https://openalex.org/W2562731034","https://openalex.org/W4315705795","https://openalex.org/W2101053337","https://openalex.org/W1870651561"],"abstract_inverted_index":{"The":[0],"relative":[1,69,89,100],"accuracy":[2,77,118],"problem":[3],"is":[4,21,28,52,130,184],"to":[5,14,30,87,109,123,134,173,188],"determine,":[6],"given":[7],"tuples":[8,107],"t1":[9],"and":[10,51,79,94,114,132,206,214],"t2":[11],"that":[12],"refer":[13],"the":[15,31,35,55,110,126,142,150,171,175,212],"same":[16,111],"entity":[17,112],"e,":[18],"whether":[19,125],"t1[A]":[20],"more":[22],"accurate":[23,144,161],"than":[24,40],"t2A,":[25],"i.e.,":[26],"t1A":[27],"closer":[29],"true":[32,56],"value":[33],"of":[34,38,58,76,106,117,141,152,216],"A":[36],"attribute":[37],"e":[39,59,113],"t2A.":[41],"This":[42,62],"has":[43],"been":[44],"a":[45,65,74,84,103,115,135,157,190,200],"longstanding":[46],"issue":[47],"for":[48,67,99,148,159],"data":[49],"quality,":[50],"challenging":[53],"when":[54,182],"values":[57,145,162],"are":[60,122],"unknown.":[61],"paper":[63],"proposes":[64],"model":[66],"determining":[68],"accuracy.":[70,90,101],"(1)":[71],"We":[72,92,155,167],"introduce":[73],"class":[75],"rules":[78],"an":[80],"inference":[81],"system":[82],"with":[83,163],"chase":[85,127],"procedure,":[86],"deduce":[88],"(2)":[91],"identify":[93],"study":[95],"several":[96],"fundamental":[97],"problems":[98,121],"Given":[102],"set":[104,116],"Ie":[105,147],"pertaining":[108],"rules,":[119],"these":[120],"decide":[124,189],"process":[128],"terminates,":[129],"Church-Rosser,":[131],"leads":[133],"unique":[136,176],"target":[137,177],"tuple":[138,178],"te":[139,179],"composed":[140],"most":[143],"from":[146],"all":[149],"attributes":[151],"e.":[153],"(3)":[154],"propose":[156],"framework":[158],"inferring":[160],"user":[164],"interaction.":[165],"(4)":[166],"provide":[168],"algorithms":[169],"underlying":[170],"framework,":[172],"find":[174],"whenever":[180],"possible;":[181],"there":[183],"no":[185],"enough":[186],"information":[187],"complete":[191],"te,":[192],"we":[193,209],"compute":[194],"top-k":[195],"candidate":[196],"targets":[197],"based":[198],"on":[199],"preference":[201],"model.":[202],"(5)":[203],"Using":[204],"real-life":[205],"synthetic":[207],"data,":[208],"experimentally":[210],"verify":[211],"effectiveness":[213],"efficiency":[215],"our":[217],"method.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
