{"id":"https://openalex.org/W2142472956","doi":"https://doi.org/10.1109/icde.2011.5767833","title":"A unified model for data and constraint repair","display_name":"A unified model for data and constraint repair","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2142472956","doi":"https://doi.org/10.1109/icde.2011.5767833","mag":"2142472956"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2011.5767833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","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/A5061267570","display_name":"Fei Chiang","orcid":"https://orcid.org/0000-0003-4128-8074"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fei Chiang","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Toronto, Canada","Department of Computer Science University of Toronto, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Computer Science University of Toronto, Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022619313","display_name":"Ren\u00e9e J. Miller","orcid":"https://orcid.org/0000-0002-1484-4787"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Renee J. Miller","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Toronto, Canada","Department of Computer Science University of Toronto, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Computer Science University of Toronto, Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061267570"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":7.2181,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.97120499,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"446","last_page":"457"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9811000227928162,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9800000190734863,"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/computer-science","display_name":"Computer science","score":0.7799479961395264},{"id":"https://openalex.org/keywords/data-integrity","display_name":"Data integrity","score":0.7629349827766418},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6618718504905701},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6612581610679626},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.6536905765533447},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5485780835151672},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5368505120277405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49135318398475647},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44722169637680054},{"id":"https://openalex.org/keywords/data-model","display_name":"Data model (GIS)","score":0.4353610873222351},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4336387813091278},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.26037222146987915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14599397778511047},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1114078164100647},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09526672959327698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799479961395264},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.7629349827766418},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6618718504905701},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6612581610679626},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.6536905765533447},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5485780835151672},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5368505120277405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49135318398475647},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44722169637680054},{"id":"https://openalex.org/C100463513","wikidata":"https://www.wikidata.org/wiki/Q5227322","display_name":"Data model (GIS)","level":2,"score":0.4353610873222351},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4336387813091278},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26037222146987915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14599397778511047},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1114078164100647},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09526672959327698},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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":1,"locations":[{"id":"doi:10.1109/icde.2011.5767833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W46452414","https://openalex.org/W102383941","https://openalex.org/W1551385575","https://openalex.org/W1571341547","https://openalex.org/W1573574800","https://openalex.org/W1967167578","https://openalex.org/W1980507082","https://openalex.org/W2016066600","https://openalex.org/W2047745978","https://openalex.org/W2054658115","https://openalex.org/W2099111195","https://openalex.org/W2112840274","https://openalex.org/W2137775416","https://openalex.org/W2153531471","https://openalex.org/W2154368191","https://openalex.org/W2157305458","https://openalex.org/W2166549982","https://openalex.org/W2167333415","https://openalex.org/W2210387432","https://openalex.org/W6601892241","https://openalex.org/W6604159878","https://openalex.org/W6634428231","https://openalex.org/W6674851815","https://openalex.org/W6680599078"],"related_works":["https://openalex.org/W3041894995","https://openalex.org/W2146933441","https://openalex.org/W2083062572","https://openalex.org/W3175087045","https://openalex.org/W2037795535","https://openalex.org/W4310519870","https://openalex.org/W2138007485","https://openalex.org/W1485984927","https://openalex.org/W3081133439","https://openalex.org/W3089353361"],"abstract_inverted_index":{"Integrity":[0],"constraints":[1,78,86,143,148],"play":[2,208],"an":[3,11,118,129,172,209],"important":[4,210],"role":[5,211],"in":[6,10,131,212],"data":[7,25,55,72,98,103,112,133,136,164,214,228,268],"design.":[8],"However,":[9],"operational":[12],"database,":[13],"they":[14],"may":[15,26,87],"not":[16,247],"be":[17,138,150,169],"enforced":[18],"for":[19,67,251],"many":[20,82],"reasons.":[21],"Hence,":[22],"over":[23,89,178,226],"time,":[24],"become":[27],"inconsistent":[28,183],"with":[29,60,101,184],"respect":[30,185],"to":[31,42,53,168,186,207,257],"the":[32,44,54,61,68,107,111,132,135,142,147,198,218],"constraints.":[33,62],"To":[34],"manage":[35],"this,":[36],"several":[37],"approaches":[38],"have":[39,144],"proposed":[40],"techniques":[41,64],"repair":[43,224,245,269,273],"data,":[45],"by":[46],"finding":[47],"minimal":[48],"or":[49,93,105,140],"lowest":[50],"cost":[51,160],"changes":[52],"that":[56,162,181,243],"make":[57],"it":[58,121],"consistent":[59],"Such":[63],"are":[65,197,205,255],"appropriate":[66],"old":[69],"world":[70],"where":[71],"changes,":[73],"but":[74,254],"schemas":[75],"and":[76,165,204,220,229,260,263],"their":[77],"remain":[79],"fixed.":[80],"In":[81,114,152],"modern":[83],"applications":[84],"however,":[85],"evolve":[88],"time":[90],"as":[91,97,106,192],"application":[92],"business":[94],"rules":[95],"change,":[96],"is":[99,122,128,182,274],"integrated":[100],"new":[102],"sources,":[104],"underlying":[108],"semantics":[109],"of":[110,189,202,222],"evolves.":[113],"such":[115],"settings,":[116],"when":[117,266],"inconsistency":[119],"occurs,":[120],"no":[123],"longer":[124],"clear":[125],"if":[126,141],"there":[127],"error":[130],"(and":[134,146],"should":[137,149],"repaired),":[139],"evolved":[145],"repaired).":[151],"this":[153],"work,":[154],"we":[155],"present":[156,230],"a":[157,179,187,231,236,267,271],"novel":[158],"unified":[159],"model":[161],"allows":[163],"constraint":[166,272],"repairs":[167,177],"compared":[170],"on":[171],"equal":[173],"footing.":[174],"We":[175,216],"consider":[176],"database":[180],"set":[188],"rules,":[190],"modeled":[191],"functional":[193],"dependencies":[194],"(FDs).":[195],"FDs":[196],"most":[199],"common":[200],"type":[201],"constraint,":[203],"known":[206],"maintaining":[213],"quality.":[215],"evaluate":[217],"quality":[219],"scalability":[221],"our":[223,244],"algorithms":[225,246],"synthetic":[227],"qualitative":[232],"case":[233],"study":[234],"using":[235],"well-known":[237],"real":[238],"dataset.":[239],"The":[240],"results":[241],"show":[242],"only":[248],"scale":[249],"well":[250],"large":[252],"datasets,":[253],"able":[256],"accurately":[258,264],"capture":[259],"correct":[261],"inconsistencies,":[262],"decide":[265],"versus":[270],"best.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}