{"id":"https://openalex.org/W4280528717","doi":"https://doi.org/10.1145/3533016","title":"Unsupervised Graph-Based Entity Resolution for Complex Entities","display_name":"Unsupervised Graph-Based Entity Resolution for Complex Entities","publication_year":2022,"publication_date":"2022-05-10","ids":{"openalex":"https://openalex.org/W4280528717","doi":"https://doi.org/10.1145/3533016"},"language":"en","primary_location":{"id":"doi:10.1145/3533016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533016","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"ACM Transactions on Knowledge Discovery from Data","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/A5066332822","display_name":"Nishadi Kirielle","orcid":"https://orcid.org/0000-0002-6503-0302"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nishadi Kirielle","raw_affiliation_strings":["School of Computing, The Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, The Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022945960","display_name":"Peter Christen","orcid":"https://orcid.org/0000-0003-3435-2015"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peter Christen","raw_affiliation_strings":["School of Computing, The Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, The Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038468449","display_name":"Thilina Ranbaduge","orcid":"https://orcid.org/0000-0001-5405-3704"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thilina Ranbaduge","raw_affiliation_strings":["School of Computing, The Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, The Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066332822"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":1.5206,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8340398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"17","issue":"1","first_page":"1","last_page":"30"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9595000147819519,"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/T10028","display_name":"Topic Modeling","score":0.9560999870300293,"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":0.7640687823295593},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6452814340591431},{"id":"https://openalex.org/keywords/record-linkage","display_name":"Record linkage","score":0.6391474604606628},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.620988667011261},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.598259449005127},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5424488186836243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5211398601531982},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.4745115637779236},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41563108563423157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.280174195766449},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2656208872795105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640687823295593},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6452814340591431},{"id":"https://openalex.org/C142210648","wikidata":"https://www.wikidata.org/wiki/Q1266546","display_name":"Record linkage","level":3,"score":0.6391474604606628},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.620988667011261},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.598259449005127},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5424488186836243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5211398601531982},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.4745115637779236},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41563108563423157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.280174195766449},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2656208872795105},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3533016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533016","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6570992869","display_name":null,"funder_award_id":"ES/W010321/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"}],"funders":[{"id":"https://openalex.org/F4320334630","display_name":"Economic and Social Research Council","ror":"https://ror.org/03n0ht308"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W149565845","https://openalex.org/W1981590391","https://openalex.org/W1996851530","https://openalex.org/W2017102965","https://openalex.org/W2024932032","https://openalex.org/W2056748234","https://openalex.org/W2062225614","https://openalex.org/W2065398649","https://openalex.org/W2073471108","https://openalex.org/W2087183379","https://openalex.org/W2145015614","https://openalex.org/W2148019918","https://openalex.org/W2180150046","https://openalex.org/W2256424113","https://openalex.org/W2542998387","https://openalex.org/W2593713917","https://openalex.org/W2606460416","https://openalex.org/W2788534864","https://openalex.org/W2889284307","https://openalex.org/W2889722819","https://openalex.org/W2929962453","https://openalex.org/W2946504770","https://openalex.org/W2952205826","https://openalex.org/W3014295153","https://openalex.org/W3093406575","https://openalex.org/W3136501774","https://openalex.org/W3138971549","https://openalex.org/W3196874599","https://openalex.org/W4210754024","https://openalex.org/W4242744113","https://openalex.org/W4300456194","https://openalex.org/W6963012742"],"related_works":["https://openalex.org/W2487032012","https://openalex.org/W2211355040","https://openalex.org/W2808916796","https://openalex.org/W2176311362","https://openalex.org/W1501601012","https://openalex.org/W3088855600","https://openalex.org/W3012491082","https://openalex.org/W3211905090","https://openalex.org/W2178148352","https://openalex.org/W1936317645"],"abstract_inverted_index":{"Entity":[0],"resolution":[1],"(ER)":[2],"is":[3,158],"the":[4,12,35,90,217,236],"process":[5,17],"of":[6,21,30,61,95,163,219,238,255],"linking":[7,161,179],"records":[8,22,31,52,162,180,225,242,256],"that":[9,70,157,190,243,276],"refer":[10],"to":[11,23,34,56,181,204,210,222,229,240,289,295,298],"same":[13,36],"entity.":[14],"Traditionally,":[15],"this":[16,148],"compares":[18],"attribute":[19,54,73,93,131,188,220],"values":[20,74,94,132,189,221],"calculate":[24],"similarities":[25,55],"and":[26,75,201,291],"then":[27],"classifies":[28],"pairs":[29,209],"as":[32,79,125],"referring":[33],"entity":[37,123],"or":[38],"not":[39],"based":[40],"on":[41,115,268,277],"these":[42,62],"similarities.":[43],"Recently":[44],"developed":[45],"graph-based":[46,104,154,281],"ER":[47,105,155,282,301],"approaches":[48,63],"combine":[49],"relationships":[50,138,239],"between":[51,262],"with":[53,117,139],"improve":[57,285],"linkage":[58,88,109,113],"quality.":[59],"Most":[60],"only":[64],"consider":[65,211],"databases":[66,116],"containing":[67],"basic":[68],"entities":[69,96,119,141],"have":[71,191,244],"static":[72,76],"relationships,":[77],"such":[78],"publications":[80],"in":[81,145,183],"bibliographic":[82],"databases.":[83],"In":[84,147],"contrast,":[85],"temporal":[86,107,200],"record":[87,108,208],"addresses":[89],"problem":[91],"where":[92,121],"can":[97,110,128,284],"change":[98,129],"over":[99,133],"time.":[100,146],"However,":[101],"neither":[102],"existing":[103],"nor":[106],"achieve":[111],"high":[112],"quality":[114],"complex":[118,164],",":[120],"an":[122,152],"(such":[124],"a":[126],"person)":[127],"its":[130],"time":[134],"while":[135],"having":[136],"different":[137,143,230,245,273],"other":[140],"at":[142,160],"points":[144],"article,":[149],"we":[150,173,194,215,233,251],"propose":[151],"unsupervised":[153,280],"framework":[156,167,283],"aimed":[159],"entities.":[165,231],"Our":[166],"provides":[168],"five":[169],"key":[170],"contributions.":[171],"First,":[172],"propagate":[174],"positive":[175],"evidence":[176,197],"encountered":[177],"when":[178],"use":[182],"subsequent":[184],"links":[185,261],"by":[186,198,257,287,293],"propagating":[187],"changed.":[192],"Second,":[193],"employ":[195],"negative":[196],"applying":[199],"link":[202,241],"constraints":[203],"restrict":[205],"which":[206],"candidate":[207],"for":[212],"linking.":[213],"Third,":[214],"leverage":[216],"ambiguity":[218],"disambiguate":[223],"similar":[224],"that,":[226],"however,":[227],"belong":[228],"Fourth,":[232],"adaptively":[234],"exploit":[235],"structure":[237],"relationships.":[246],"Fifth,":[247],"using":[248],"graph":[249],"measures,":[250],"refine":[252],"matched":[253],"clusters":[254],"removing":[258],"likely":[259],"wrong":[260],"records.":[263],"We":[264],"conduct":[265],"extensive":[266],"experiments":[267],"seven":[269],"real-world":[270],"datasets":[271],"from":[272],"domains":[274],"showing":[275],"average":[278],"our":[279],"precision":[286],"up":[288,294],"25%":[290],"recall":[292],"29%":[296],"compared":[297],"several":[299],"state-of-the-art":[300],"techniques.":[302]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}