{"id":"https://openalex.org/W4396757436","doi":"https://doi.org/10.1145/3589334.3645397","title":"Matching Feature Separation Network for Domain Adaptation in Entity Matching","display_name":"Matching Feature Separation Network for Domain Adaptation in Entity Matching","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396757436","doi":"https://doi.org/10.1145/3589334.3645397"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","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/A5100771483","display_name":"Chenchen Sun","orcid":"https://orcid.org/0000-0002-9990-0425"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]},{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenchen Sun","raw_affiliation_strings":["Chang'an University & Tianjin University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University & Tianjin University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I25355098","https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097000684","display_name":"Yang Xu","orcid":"https://orcid.org/0009-0007-3017-4975"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]},{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["Chang'an University & Tianjin University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University & Tianjin University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I25355098","https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015251362","display_name":"Derong Shen","orcid":"https://orcid.org/0000-0003-0310-6372"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Derong Shen","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102979521","display_name":"Tiezheng Nie","orcid":"https://orcid.org/0000-0002-0166-1324"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiezheng Nie","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100771483"],"corresponding_institution_ids":["https://openalex.org/I136765683","https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":1.4434,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8227233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1975","last_page":"1985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9853000044822693,"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":0.978600025177002,"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/matching","display_name":"Matching (statistics)","score":0.7428855895996094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7160031795501709},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5841620564460754},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5762776732444763},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.566961407661438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313212275505066},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4722948372364044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45112648606300354},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.43371888995170593},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3600558340549469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14336106181144714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05373832583427429}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7428855895996094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7160031795501709},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5841620564460754},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5762776732444763},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.566961407661438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313212275505066},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4722948372364044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45112648606300354},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.43371888995170593},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3600558340549469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14336106181144714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05373832583427429},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3963501409","display_name":null,"funder_award_id":"62002262,62172082,62072086,62072084","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1870305865","https://openalex.org/W2169940602","https://openalex.org/W2187089797","https://openalex.org/W2593768305","https://openalex.org/W2798649495","https://openalex.org/W2890436498","https://openalex.org/W2964288524","https://openalex.org/W3011807731","https://openalex.org/W3014705052","https://openalex.org/W3032005113","https://openalex.org/W3045211065","https://openalex.org/W3096831136","https://openalex.org/W3123375411","https://openalex.org/W4225093372","https://openalex.org/W4282010430","https://openalex.org/W4297969478","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W2400428875","https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W1090580760","https://openalex.org/W4365793569","https://openalex.org/W2389991515","https://openalex.org/W2050706403","https://openalex.org/W2395120299","https://openalex.org/W2499438468"],"abstract_inverted_index":{"Entity":[0],"matching":[1,85,100,119],"(EM)":[2],"determines":[3],"whether":[4],"two":[5],"records":[6],"from":[7,115],"different":[8],"data":[9,27],"sources":[10],"refer":[11],"to":[12,53,93,121],"the":[13,55,96,104,112,116,122,152,180,187,202],"same":[14],"real-world":[15],"entity.":[16],"It":[17],"is":[18,170],"a":[19,48,63],"fundamental":[20],"task":[21],"in":[22,102,161,174,192,208],"knowledge":[23,113],"graph":[24],"construction":[25],"and":[26,83,98,106,134,147,156,194,210],"integration.":[28],"Currently,":[29],"deep":[30],"learning":[31],"(DL)":[32],"based":[33],"EM":[34,44,70,162],"methods":[35,45],"have":[36],"achieved":[37],"state-of-the-art":[38],"(SOTA)":[39],"results.":[40],"However,":[41],"apply-ing":[42],"DL-based":[43],"often":[46],"costs":[47],"lot":[49],"of":[50,154,189,205],"human":[51],"efforts":[52],"label":[54],"data.":[56],"To":[57],"address":[58],"this":[59],"challenge,":[60],"we":[61,185,200],"propose":[62],"new":[64],"do-main":[65],"adaptation":[66],"(DA)":[67],"framework":[68,169],"for":[69],"called":[71,131],"Matching":[72],"Fea-ture":[73],"Separation":[74,135],"Network":[75],"(MFSN).":[76],"We":[77,125,150],"implement":[78],"DA":[79,160],"by":[80,196],"sepa-rating":[81],"private":[82,97],"common":[84,99,118],"features.":[86],"Briefly,":[87],"MFSN":[88,137,155,193,209],"first":[89],"uses":[90],"three":[91],"encoders":[92],"explicitly":[94],"model":[95],"features":[101,120],"both":[103],"source":[105,117],"target":[107,123],"do-mains.":[108],"Then,":[109,184],"it":[110,142],"transfers":[111],"learned":[114],"domain.":[124],"also":[126],"pro-pose":[127],"an":[128],"enhanced":[129],"variant":[130],"Feature":[132],"Representation":[133],"Enhanced":[136],"(MFSN-FRSE).":[138],"Compared":[139],"with":[140],"MFSN,":[141],"has":[143],"superior":[144],"feature":[145],"representation":[146],"separation":[148],"capabilities.":[149],"evaluate":[151],"effectiveness":[153],"MFSN-FRSE":[157,195,211],"on":[158,177],"twelve":[159],"tasks.":[163],"The":[164],"results":[165],"show":[166],"that":[167],"our":[168],"approximately":[171],"7%":[172],"higher":[173],"F1":[175],"score":[176],"average":[178],"than":[179],"previous":[181],"SOTA":[182],"methods.":[183],"verify":[186],"effec-tiveness":[188],"each":[190,206],"module":[191,207],"ablation":[197],"study.":[198],"Finally,":[199],"explore":[201],"optimal":[203],"strategy":[204],"through":[212],"detailed":[213],"tests.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}