{"id":"https://openalex.org/W1972017082","doi":"https://doi.org/10.1109/dsaa.2014.7058058","title":"A confidence-based entity resolution approach with incomplete information","display_name":"A confidence-based entity resolution approach with incomplete information","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1972017082","doi":"https://doi.org/10.1109/dsaa.2014.7058058","mag":"1972017082"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa.2014.7058058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","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/A5101819875","display_name":"Qi Gu","orcid":"https://orcid.org/0000-0001-8709-2865"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Gu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","School of Computer Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Computer Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456239","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-4112-4312"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648774","display_name":"Jian Cao","orcid":"https://orcid.org/0000-0002-0036-9436"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["University of Technology Svdney, Svdney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Svdney, Svdney, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053225136","display_name":"Alfredo Cuzzocrea","orcid":"https://orcid.org/0000-0002-7104-6415"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfredo Cuzzocrea","raw_affiliation_strings":["ICAR-CNR & University of Calabria, Cosenza, Italy"],"affiliations":[{"raw_affiliation_string":"ICAR-CNR & University of Calabria, Cosenza, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101819875"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I199305430"],"apc_list":null,"apc_paid":null,"fwci":0.8408,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77202559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"97","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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":1.0,"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/T10028","display_name":"Topic Modeling","score":0.972000002861023,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9706000089645386,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7620726823806763},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6391485333442688},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6098450422286987},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.548800528049469},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5437535047531128},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5026774406433105},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44242286682128906},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.43485361337661743},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41308748722076416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2836207449436188},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16155365109443665},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.15265464782714844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620726823806763},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6391485333442688},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6098450422286987},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.548800528049469},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5437535047531128},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5026774406433105},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44242286682128906},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.43485361337661743},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41308748722076416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2836207449436188},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16155365109443665},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.15265464782714844},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/dsaa.2014.7058058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arts.units.it:11368/2896356","is_oa":false,"landing_page_url":"http://hdl.handle.net/11368/2896356","pdf_url":null,"source":{"id":"https://openalex.org/S4306400480","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/36549","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/36549","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1547556487","https://openalex.org/W1606941371","https://openalex.org/W1925598861","https://openalex.org/W1973734023","https://openalex.org/W1996191381","https://openalex.org/W2023448865","https://openalex.org/W2035615211","https://openalex.org/W2046020929","https://openalex.org/W2065199439","https://openalex.org/W2073471108","https://openalex.org/W2088285696","https://openalex.org/W2102869387","https://openalex.org/W2108991785","https://openalex.org/W2125434953","https://openalex.org/W2148019918","https://openalex.org/W2164456230","https://openalex.org/W2170902582","https://openalex.org/W2171472464","https://openalex.org/W3146259567","https://openalex.org/W4230502578","https://openalex.org/W4242744113"],"related_works":["https://openalex.org/W2076536433","https://openalex.org/W90316445","https://openalex.org/W4327743613","https://openalex.org/W2965447900","https://openalex.org/W3199750033","https://openalex.org/W2374509987","https://openalex.org/W3163373470","https://openalex.org/W3005856188","https://openalex.org/W1898221464","https://openalex.org/W4289783037"],"abstract_inverted_index":{"Entity":[0,27],"resolution":[1,28],"identifies":[2],"entities":[3],"from":[4,24],"different":[5],"data":[6,23,35,39,42,52,154],"sources":[7,43,53],"that":[8,160],"refer":[9],"to":[10,61,69,76,86,100],"the":[11,38,62,71,80,88,91,102,113,120],"same":[12,72],"real-world":[13],"entity":[14,121],"and":[15,106,115,156],"it":[16],"is":[17,44,84,98,109,127],"an":[18],"important":[19],"prerequisite":[20],"for":[21],"integrating":[22],"multiple":[25],"sources.":[26],"mainly":[29],"relies":[30],"on":[31,34,119,143,152],"similarity":[32,67,92,103,114],"measures":[33,68],"records.":[36],"Unfortunately,":[37],"quality":[40],"of":[41,64,82,90,132,150],"not":[45],"so":[46],"good":[47],"in":[48],"practice.":[49],"Especially":[50],"web":[51],"often":[54],"only":[55],"provide":[56],"incomplete":[57],"information,":[58],"which":[59],"leads":[60],"difficulties":[63],"direct":[65],"applying":[66],"identify":[70],"entities.":[73],"In":[74],"order":[75],"address":[77],"this":[78],"problem,":[79],"concept":[81],"confidence":[83,108,116],"introduced":[85],"measure":[87],"trustworthy":[89],"calculation.":[93],"An":[94],"adaptive":[95],"rule-based":[96],"approach":[97,162],"used":[99],"calculate":[101],"between":[104],"records":[105,134],"its":[107],"also":[110],"derived.":[111],"Then":[112],"are":[117],"propagated":[118],"relational":[122],"graph":[123],"until":[124],"fix":[125],"point":[126],"reached.":[128],"Finally,":[129],"any":[130],"pair":[131],"two":[133],"can":[135],"be":[136],"determined":[137],"as":[138],"matched":[139],"or":[140],"unmatched":[141],"based":[142],"a":[144,148,164],"threshold.":[145],"We":[146],"performed":[147],"series":[149],"experiments":[151],"real":[153],"sets":[155],"experiment":[157],"results":[158],"show":[159],"our":[161],"has":[163],"better":[165],"performance":[166],"comparing":[167],"with":[168],"others.":[169]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
