{"id":"https://openalex.org/W2904277245","doi":"https://doi.org/10.1109/tetci.2018.2883109","title":"Efficient User Involvement in Semiautomatic Ontology Matching","display_name":"Efficient User Involvement in Semiautomatic Ontology Matching","publication_year":2018,"publication_date":"2018-12-13","ids":{"openalex":"https://openalex.org/W2904277245","doi":"https://doi.org/10.1109/tetci.2018.2883109","mag":"2904277245"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2018.2883109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2018.2883109","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","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/A5053458745","display_name":"Xingsi Xue","orcid":"https://orcid.org/0000-0002-3008-8782"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]},{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingsi Xue","raw_affiliation_strings":["\u2009College of Information Science and Engineering, Intelligent Information Processing Research Center, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China","College of Information Science and Engineering, Intelligent Information Processing Research Center, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"\u2009College of Information Science and Engineering, Intelligent Information Processing Research Center, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]},{"raw_affiliation_string":"College of Information Science and Engineering, Intelligent Information Processing Research Center, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089231151","display_name":"Junfeng Chen","orcid":"https://orcid.org/0000-0002-3642-007X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Chen","raw_affiliation_strings":["College of IOT Engineering, Hohai University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"College of IOT Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["CERCIA, School of Computer Science, University of Birmingham, Birmingham, U.K"],"affiliations":[{"raw_affiliation_string":"CERCIA, School of Computer Science, University of Birmingham, Birmingham, U.K","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053458745"],"corresponding_institution_ids":["https://openalex.org/I354108","https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":4.3979,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.9557279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"214","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998999834060669,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9968000054359436,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7957013845443726},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.771795928478241},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.7622476816177368},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7250193357467651},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6309874057769775},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5065444707870483},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48431912064552307},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45089980959892273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41888749599456787},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.4123510718345642},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.15945526957511902},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0688467025756836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06578317284584045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957013845443726},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.771795928478241},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.7622476816177368},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7250193357467651},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6309874057769775},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5065444707870483},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48431912064552307},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45089980959892273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41888749599456787},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.4123510718345642},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.15945526957511902},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0688467025756836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06578317284584045},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2018.2883109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2018.2883109","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1878086468","display_name":null,"funder_award_id":"61503082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2633930839","display_name":null,"funder_award_id":"61403121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3931243179","display_name":null,"funder_award_id":"61329302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4200419965","display_name":null,"funder_award_id":"2016J05145","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8713787551","display_name":null,"funder_award_id":"2015B20214","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W17359543","https://openalex.org/W55624753","https://openalex.org/W173475825","https://openalex.org/W1556171694","https://openalex.org/W1970939142","https://openalex.org/W1982350890","https://openalex.org/W2013093146","https://openalex.org/W2052306008","https://openalex.org/W2114538147","https://openalex.org/W2117636839","https://openalex.org/W2141595878","https://openalex.org/W2145546232","https://openalex.org/W2147393868","https://openalex.org/W2157060173","https://openalex.org/W2164508904","https://openalex.org/W2276489183","https://openalex.org/W2401871342","https://openalex.org/W2479500447","https://openalex.org/W2581208330","https://openalex.org/W2783277677","https://openalex.org/W3003338060","https://openalex.org/W4244995761","https://openalex.org/W6600698116","https://openalex.org/W6607081637","https://openalex.org/W6697391645","https://openalex.org/W6713120614","https://openalex.org/W6732958684","https://openalex.org/W6747570393"],"related_works":["https://openalex.org/W2391790737","https://openalex.org/W2114374173","https://openalex.org/W2374991871","https://openalex.org/W2793451634","https://openalex.org/W2159818280","https://openalex.org/W22148886","https://openalex.org/W2365397974","https://openalex.org/W1492040618","https://openalex.org/W1794266373","https://openalex.org/W1830516355"],"abstract_inverted_index":{"Semiautomatic":[0],"ontology":[1,65,121],"matching":[2,66,122],"poses":[3],"a":[4,75],"new":[5],"challenge":[6],"of":[7,49,73,115],"how":[8,45],"to":[9,46],"implement":[10],"an":[11,57],"efficient":[12],"user":[13,41,76,87],"interactions.":[14],"To":[15],"address":[16],"this":[17,24],"challenge,":[18],"we":[19,29,55],"answer":[20],"three":[21,95],"questions":[22],"in":[23],"paper:":[25],"(1)":[26,69],"when":[27],"should":[28,37],"activate":[30],"the":[31,50,71,80,86,101,105,109,113,118],"interacting":[32],"process;":[33],"(2)":[34,78],"which":[35],"correspondences":[36],"be":[38],"presented":[39],"for":[40],"validation;":[42],"and":[43,83,104,112],"(3)":[44,84],"make":[47],"use":[48],"validating":[51,88],"results.":[52,89],"In":[53],"particular,":[54],"present":[56],"interactive":[58],"compact":[59],"memetic":[60],"algorithm":[61],"(ICMA)":[62],"based":[63],"semiautomatic":[64,120],"technique":[67],"to:":[68],"determine":[70,79],"timing":[72],"getting":[74],"involved;":[77],"problematic":[81],"correspondences;":[82],"propagate":[85],"The":[90],"experimental":[91],"results":[92],"show":[93],"that":[94],"proposed":[96],"strategies":[97],"can":[98],"effectively":[99],"reduce":[100],"user's":[102],"workload":[103],"algorithm's":[106],"runtime,":[107],"increase":[108],"alignment's":[110],"quality,":[111],"performance":[114],"ICMA":[116],"outperforms":[117],"state-of-the-art":[119],"techniques.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}