{"id":"https://openalex.org/W2984651502","doi":"https://doi.org/10.1145/3357384.3360316","title":"Learning-Based Methods with Human-in-the-Loop for Entity Resolution","display_name":"Learning-Based Methods with Human-in-the-Loop for Entity Resolution","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2984651502","doi":"https://doi.org/10.1145/3357384.3360316","mag":"2984651502"},"language":"en","primary_location":{"id":"doi:10.1145/3357384.3360316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3360316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","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/A5005866714","display_name":"Sairam Gurajada","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sairam Gurajada","raw_affiliation_strings":["IBM Research - Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041152581","display_name":"Lucian Popa","orcid":"https://orcid.org/0000-0002-0659-9144"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lucian Popa","raw_affiliation_strings":["IBM Research - Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005099484","display_name":"Kun Qian","orcid":"https://orcid.org/0000-0002-6765-9446"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Qian","raw_affiliation_strings":["IBM Research - Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105422045","display_name":"Prithviraj Sen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prithviraj Sen","raw_affiliation_strings":["IBM Research - Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005866714"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":1.1883,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81731033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2969","last_page":"2970"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9782000184059143,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9753999710083008,"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":0.7907399535179138},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.7660707235336304},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.6795945763587952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5800609588623047},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5463325381278992},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5242761969566345},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5192944407463074},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4751719832420349},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.4705895483493805},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45323702692985535},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4195931553840637},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3939349949359894},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37391021847724915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34989166259765625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12230324745178223},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10964271426200867}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7907399535179138},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7660707235336304},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.6795945763587952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800609588623047},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5463325381278992},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5242761969566345},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5192944407463074},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4751719832420349},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.4705895483493805},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45323702692985535},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4195931553840637},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3939349949359894},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37391021847724915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34989166259765625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12230324745178223},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10964271426200867},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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":1,"locations":[{"id":"doi:10.1145/3357384.3360316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3360316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2052698082","https://openalex.org/W2056748234","https://openalex.org/W2067566391","https://openalex.org/W2107966677","https://openalex.org/W2143124645","https://openalex.org/W2163051926","https://openalex.org/W2292361954","https://openalex.org/W2479722630","https://openalex.org/W2614326346","https://openalex.org/W2767681556","https://openalex.org/W2798649495","https://openalex.org/W2946504770","https://openalex.org/W2957204582","https://openalex.org/W2964223984","https://openalex.org/W4246012463"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W2324273747","https://openalex.org/W2945504883"],"abstract_inverted_index":{"This":[0],"tutorial":[1],"is":[2,21],"intended":[3],"for":[4],"researchers":[5],"and":[6,59,94,116,120,140],"practitioners":[7],"working":[8],"in":[9,15],"the":[10,33,125,144],"data":[11],"integration":[12],"area":[13],"and,":[14],"particular,":[16],"entity":[17],"resolution":[18],"(ER),":[19],"which":[20],"a":[22],"sub-area":[23],"focused":[24],"on":[25,89],"linking":[26],"entities":[27],"across":[28],"heterogeneous":[29],"datasets.":[30],"We":[31,64,78,97,131],"outline":[32,141],"ideal":[34,72],"requirements":[35],"of":[36,83,118,127,143],"modern":[37],"ER":[38,73],"systems:":[39],"(1)":[40],"capture":[41],"domain":[42],"knowledge":[43],"via":[44,55],"(minimal)":[45],"human":[46],"interaction,":[47],"(2)":[48],"provide":[49],"as":[50,53,92,109],"much":[51],"automation":[52],"possible":[54],"machine":[56],"learning":[57,106,111,122],"techniques,":[58],"(3)":[60],"achieve":[61],"high":[62],"explainability.":[63],"describe":[65],"recent":[66,101,145],"research":[67],"trends":[68,102],"towards":[69,147],"bringing":[70],"such":[71,91,108],"systems":[74],"closer":[75],"to":[76,112,123,138],"reality.":[77],"begin":[79],"with":[80],"an":[81],"overview":[82],"human-in-the-loop":[84],"methods":[85],"that":[86,103],"are":[87],"based":[88],"techniques":[90,107],"crowdsourcing":[93],"active":[95,121],"learning.":[96],"then":[98],"dive":[99],"into":[100],"involve":[104],"deep":[105],"representation":[110],"automate":[113],"feature":[114],"engineering,":[115],"combinations":[117],"transfer":[119],"reduce":[124],"amount":[126],"user":[128],"labels":[129],"required.":[130],"also":[132],"discuss":[133],"how":[134],"explainable":[135,148],"AI":[136],"relates":[137],"ER,":[139],"some":[142],"advances":[146],"ER.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}