{"id":"https://openalex.org/W1678909795","doi":"https://doi.org/10.1109/ijcnn.2015.7280630","title":"Using active learning techniques for improving database schema matching methods","display_name":"Using active learning techniques for improving database schema matching methods","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1678909795","doi":"https://doi.org/10.1109/ijcnn.2015.7280630","mag":"1678909795"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","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/A5073783539","display_name":"Diego Dimer Rodrigues","orcid":"https://orcid.org/0000-0002-9544-117X"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diego Rodrigues","raw_affiliation_strings":["Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]},{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035221043","display_name":"Altigran Soares da Silva","orcid":"https://orcid.org/0000-0002-8992-495X"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Altigran da Silva","raw_affiliation_strings":["Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]},{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011819011","display_name":"Rosiane Rodrigues","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rosiane Rodrigues","raw_affiliation_strings":["Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]},{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052725027","display_name":"Eulanda dos Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eulanda dos Santos","raw_affiliation_strings":["Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computacao, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]},{"raw_affiliation_string":"Universidade Federal do Amazonas, Instituto de Computa\u00e7\u00e3o, Manaus - Brazil","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62885914"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.06741247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9980000257492065,"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/T11719","display_name":"Data Quality and Management","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8044624328613281},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.5714667439460754},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.5531479716300964},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5156892538070679},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4721370339393616},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4546539783477783},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4450749158859253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40871068835258484},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.293600857257843},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.10730275511741638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06769397854804993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044624328613281},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.5714667439460754},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.5531479716300964},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5156892538070679},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4721370339393616},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4546539783477783},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4450749158859253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40871068835258484},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.293600857257843},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.10730275511741638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06769397854804993},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1482424254","https://openalex.org/W1506806321","https://openalex.org/W1663973292","https://openalex.org/W1982801501","https://openalex.org/W1998982581","https://openalex.org/W2008896880","https://openalex.org/W2016004437","https://openalex.org/W2020694521","https://openalex.org/W2038602505","https://openalex.org/W2053606499","https://openalex.org/W2080021732","https://openalex.org/W2112849016","https://openalex.org/W2113455536","https://openalex.org/W2116135732","https://openalex.org/W2124868070","https://openalex.org/W2129564368","https://openalex.org/W2139135093","https://openalex.org/W2150365753","https://openalex.org/W2151023586","https://openalex.org/W2156543375","https://openalex.org/W2157060173","https://openalex.org/W2406114359","https://openalex.org/W2487087946","https://openalex.org/W3004104752","https://openalex.org/W4230030242","https://openalex.org/W6628613587","https://openalex.org/W6676605351","https://openalex.org/W6680506379","https://openalex.org/W6713576725","https://openalex.org/W6773138782"],"related_works":["https://openalex.org/W1528218860","https://openalex.org/W2129469317","https://openalex.org/W2406112091","https://openalex.org/W2125859764","https://openalex.org/W1995017804","https://openalex.org/W2766698234","https://openalex.org/W4281767523","https://openalex.org/W2508256214","https://openalex.org/W2014400548","https://openalex.org/W2130474477"],"abstract_inverted_index":{"The":[0],"schema":[1,75,170,185],"matching":[2,76,153,171,186],"problem":[3,22],"consists":[4],"of":[5,13,36,48,61,97,159,214],"finding":[6],"semantic":[7],"correspondences":[8],"between":[9,34,51],"elements":[10,37,62],"(e.g.,":[11],"attributes)":[12],"two":[14,40,69],"database":[15,98],"schemas.":[16,41,70],"Typically,":[17],"methods":[18,77],"to":[19,29,57,92,113,203],"solve":[20],"this":[21,118],"first":[23],"use":[24],"pair-wise":[25],"functions":[26],"called":[27],"matchers":[28,54,131],"generate":[30],"similarity":[31],"scores":[32,43],"values":[33],"pairs":[35,60],"from":[38],"the":[39,49,68,73,148,152,157,174,193,204,212],"These":[42],"are":[44,55],"used":[45],"as":[46],"estimations":[47],"correspondence":[50],"elements.":[52],"Next,":[53],"combined":[56],"establish":[58],"which":[59,136],"must":[63],"be":[64],"mapped":[65],"when":[66],"integrating":[67],"For":[71],"this,":[72],"best-known":[74],"rely":[78],"on":[79,133,151,177,189],"fixed":[80,86,178],"heuristics.":[81],"We":[82,155],"consider":[83],"that":[84,105,145],"using":[85,215],"heuristics":[87],"is":[88,137],"not":[89],"always":[90],"helpful":[91],"cope":[93],"with":[94,166,181],"a":[95,126,168,183],"variety":[96],"and":[99,103,140,180],"element":[100],"mismatch":[101],"cases":[102],"argue":[104],"machine":[106,142],"learning":[107,143,217],"(ML)":[108],"techniques":[109],"comprise":[110],"suitable":[111],"alternatives":[112],"properly":[114],"combine":[115],"matchers.":[116,220],"In":[117,192],"paper":[119],"we":[120,161],"propose":[121],"ALMa":[122,165,195],"(Active":[123],"Learning":[124],"Matching),":[125],"novel":[127],"method":[128,172,187],"for":[129,218],"combining":[130,219],"based":[132,176,188],"active":[134,216],"learning,":[135],"an":[138],"interesting":[139],"effective":[141],"technique":[144],"efficiently":[146],"exploits":[147],"users'":[149],"expertise":[150],"task.":[154],"report":[156],"results":[158,197],"experiments":[160],"carried":[162],"out":[163],"comparing":[164],"COMA,":[167],"well-known":[169],"in":[173],"literature":[175],"heuristics,":[179],"YAM,":[182],"recent":[184],"supervised":[190],"learning.":[191],"experiments,":[194],"achieved":[196],"better":[198],"or":[199],"at":[200],"least":[201],"similar":[202],"baselines,":[205],"while":[206],"demanded":[207],"less":[208],"user":[209],"effort,":[210],"confirming":[211],"suitability":[213]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}