{"id":"https://openalex.org/W2944916929","doi":"https://doi.org/10.1145/3326467.3326484","title":"Robust Active Learning of Expressive Linkage Rules","display_name":"Robust Active Learning of Expressive Linkage Rules","publication_year":2019,"publication_date":"2019-05-20","ids":{"openalex":"https://openalex.org/W2944916929","doi":"https://doi.org/10.1145/3326467.3326484","mag":"2944916929"},"language":"en","primary_location":{"id":"doi:10.1145/3326467.3326484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3326467.3326484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010968230","display_name":"Anna Primpeli","orcid":"https://orcid.org/0000-0002-1783-2482"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anna Primpeli","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076876024","display_name":"Christian Bizer","orcid":"https://orcid.org/0000-0003-2367-0237"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Bizer","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177802217"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9955000281333923,"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/T10028","display_name":"Topic Modeling","score":0.9746000170707703,"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":0.8074329495429993},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6035546660423279},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5957638025283813},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5904722809791565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5809745788574219},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.552081286907196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5519348382949829},{"id":"https://openalex.org/keywords/record-linkage","display_name":"Record linkage","score":0.5419597625732422},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4503619968891144},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.44234076142311096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09477990865707397},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.07854488492012024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8074329495429993},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6035546660423279},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5957638025283813},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5904722809791565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5809745788574219},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.552081286907196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5519348382949829},{"id":"https://openalex.org/C142210648","wikidata":"https://www.wikidata.org/wiki/Q1266546","display_name":"Record linkage","level":3,"score":0.5419597625732422},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4503619968891144},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.44234076142311096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09477990865707397},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.07854488492012024},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3326467.3326484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3326467.3326484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:50584","is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?doid=3326467.3326484","pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W61518770","https://openalex.org/W1514940655","https://openalex.org/W1568705965","https://openalex.org/W1666672054","https://openalex.org/W1978633512","https://openalex.org/W1982804187","https://openalex.org/W1993202648","https://openalex.org/W2014964486","https://openalex.org/W2042932437","https://openalex.org/W2053606499","https://openalex.org/W2056748234","https://openalex.org/W2067566391","https://openalex.org/W2095644746","https://openalex.org/W2104511295","https://openalex.org/W2140679654","https://openalex.org/W2142151675","https://openalex.org/W2153819437","https://openalex.org/W2164456230","https://openalex.org/W2168822971","https://openalex.org/W2244198747","https://openalex.org/W2259910030","https://openalex.org/W2397994241","https://openalex.org/W2589049294","https://openalex.org/W2767681556","https://openalex.org/W2914331073","https://openalex.org/W6637001620"],"related_works":["https://openalex.org/W1534274833","https://openalex.org/W3117246195","https://openalex.org/W2081850291","https://openalex.org/W156620619","https://openalex.org/W2914363205","https://openalex.org/W1598221548","https://openalex.org/W1963695443","https://openalex.org/W2997844990","https://openalex.org/W4280518517","https://openalex.org/W3111878056"],"abstract_inverted_index":{"The":[0,186,209],"goal":[1],"of":[2,50,112,147,178,219,229,232],"entity":[3,58],"resolution,":[4],"also":[5],"known":[6],"as":[7,182,224],"duplicate":[8],"detection":[9],"and":[10,75,129,199],"record":[11,53,180],"linkage,":[12],"is":[13,133,167],"to":[14,26,61,105,135,169,205,237],"identify":[15],"all":[16],"records":[17],"in":[18,41,144],"one":[19],"or":[20],"more":[21],"data":[22,106,124],"sets":[23,107,125],"that":[24,99,131,212],"refer":[25],"the":[27,38,42,48,63,69,72,78,93,117,148,171,179,195,213,217,220,227,230],"same":[28,149],"real-world":[29],"entity.":[30],"To":[31],"achieve":[32],"this":[33,152],"goal,":[34],"matching":[35,39,177,188,207],"rules,":[36],"encoding":[37],"patterns":[40],"data,":[43],"can":[44],"be":[45],"learned":[46],"with":[47,126],"help":[49],"manually":[51],"annotated":[52],"pairs.":[54],"Active":[55],"learning":[56,73,86,120,164,197,222],"for":[57,82,193,200],"resolution":[59],"aims":[60],"minimize":[62],"human":[64,70,94],"labeling":[65,95],"effort":[66],"by":[67,76,235],"including":[68],"into":[71],"loop":[74],"selecting":[77],"most":[79],"informative":[80],"pairs":[81,181],"labeling.":[83],"While":[84],"active":[85,119,163,196,221],"methods":[87],"are":[88,190],"quite":[89],"successful":[90],"at":[91],"reducing":[92],"effort,":[96],"we":[97,154],"show":[98],"their":[100],"performance":[101],"decreases":[102],"when":[103],"applied":[104],"having":[108],"a":[109,161,183],"large":[110],"number":[111],"sparse":[113],"attributes.":[114],"We":[115],"evaluate":[116],"ActiveGenLink":[118],"method":[121,165,174,215],"using":[122],"e-commerce":[123],"such":[127],"characteristics":[128],"observe":[130],"it":[132,202,225],"prone":[134],"suboptimal":[136,206],"convergence":[137],"points,":[138],"thus":[139],"producing":[140],"highly":[141],"varying":[142],"results":[143,189,231],"different":[145,233],"runs":[146,234],"experiment.":[150],"In":[151],"paper":[153],"present":[155],"our":[156],"ongoing":[157],"work":[158],"on":[159],"building":[160],"robust":[162],"which":[166],"able":[168],"tackle":[170],"instability.":[172],"Our":[173],"applies":[175],"unsupervised":[176,187],"first":[184],"step.":[185],"used":[191],"afterwards":[192],"bootstrapping":[194],"process":[198,223],"preventing":[201],"from":[203],"converging":[204],"rules.":[208],"evaluation":[210],"shows":[211],"proposed":[214],"increases":[216],"robustness":[218],"reduces":[226],"variation":[228],"10%":[236],"16%.":[238]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}