{"id":"https://openalex.org/W4313566426","doi":"https://doi.org/10.1080/09540091.2021.1991278","title":"Matching heterogeneous ontologies with adaptive evolutionary algorithm","display_name":"Matching heterogeneous ontologies with adaptive evolutionary algorithm","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W4313566426","doi":"https://doi.org/10.1080/09540091.2021.1991278"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2021.1991278","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.1991278","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1080/09540091.2021.1991278","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/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":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, People's Republic of China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749192","display_name":"Haolin Wang","orcid":"https://orcid.org/0000-0002-0477-4973"},"institutions":[{"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":false,"raw_author_name":"Haolin Wang","raw_affiliation_strings":["Intelligent Information Processing Research Center, Fujian University of Technology, Fuzhou, Fujian, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Information Processing Research Center, Fujian University of Technology, Fuzhou, Fujian, People's Republic of China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637499","display_name":"Xin Zhou","orcid":"https://orcid.org/0000-0001-7539-2342"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, People's Republic of China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031838724","display_name":"Guojun Mao","orcid":"https://orcid.org/0000-0002-5068-6181"},"institutions":[{"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":false,"raw_author_name":"Guojun Mao","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, People's Republic of China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050711042","display_name":"Hai Zhu","orcid":"https://orcid.org/0000-0002-7192-226X"},"institutions":[{"id":"https://openalex.org/I4210093674","display_name":"Zhoukou Normal University","ror":"https://ror.org/00jjkh886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Zhu","raw_affiliation_strings":["School of Network Engineering, Zhoukou Normal University, Zhoukou, Henan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Network Engineering, Zhoukou Normal University, Zhoukou, Henan, People's Republic of China","institution_ids":["https://openalex.org/I4210093674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053458745"],"corresponding_institution_ids":["https://openalex.org/I83791580"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":0.6996,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77525828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"34","issue":"1","first_page":"811","last_page":"828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9976999759674072,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9092000126838684,"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/ontology-alignment","display_name":"Ontology alignment","score":0.8247277140617371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7109811902046204},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6661273837089539},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.5606616735458374},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5536600947380066},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.4920613169670105},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4623014032840729},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.43474578857421875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3740267753601074},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33048680424690247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3086467385292053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1759941279888153},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.15438681840896606}],"concepts":[{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.8247277140617371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109811902046204},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6661273837089539},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.5606616735458374},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5536600947380066},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.4920613169670105},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4623014032840729},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.43474578857421875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3740267753601074},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33048680424690247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3086467385292053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1759941279888153},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.15438681840896606},{"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2021.1991278","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.1991278","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9cbaa82abf3d44f4b5a49e83771c7a91","is_oa":false,"landing_page_url":"https://doaj.org/article/9cbaa82abf3d44f4b5a49e83771c7a91","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 34, Iss 1, Pp 811-828 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2021.1991278","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.1991278","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4149180181","display_name":null,"funder_award_id":"61103143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4938892067","display_name":null,"funder_award_id":"61773415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5367488345","display_name":null,"funder_award_id":"2020J01875","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G6369165936","display_name":null,"funder_award_id":"62172095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8490485642","display_name":null,"funder_award_id":"61801527","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W31931630","https://openalex.org/W46452414","https://openalex.org/W55624753","https://openalex.org/W1543258308","https://openalex.org/W2008896880","https://openalex.org/W2052306008","https://openalex.org/W2081580037","https://openalex.org/W2100684772","https://openalex.org/W2136480620","https://openalex.org/W2144244034","https://openalex.org/W2887191358","https://openalex.org/W2921421327","https://openalex.org/W2938315918","https://openalex.org/W2958886741","https://openalex.org/W2961164327","https://openalex.org/W3005272614","https://openalex.org/W3084299033","https://openalex.org/W3094988667","https://openalex.org/W3114137366","https://openalex.org/W3178477937","https://openalex.org/W3192017184","https://openalex.org/W4200411312","https://openalex.org/W4238435395","https://openalex.org/W4239041579","https://openalex.org/W4248446220","https://openalex.org/W6640996254"],"related_works":["https://openalex.org/W2391790737","https://openalex.org/W1794266373","https://openalex.org/W2374991871","https://openalex.org/W2793451634","https://openalex.org/W2114374173","https://openalex.org/W22148886","https://openalex.org/W149627178","https://openalex.org/W2365397974","https://openalex.org/W1492040618","https://openalex.org/W1830516355"],"abstract_inverted_index":{"An":[0],"ontology":[1,18,31,35,59,68,90,102,109,117,180],"provides":[2],"a":[3,38,96,113],"formal":[4],"description":[5],"on":[6,100,116,161],"the":[7,15,29,49,54,65,84,89,101,108,138,153,162,167,178,184],"domain":[8],"concepts":[9],"and":[10,34,80,112,157,177,183],"their":[11],"relationships.":[12],"Due":[13],"to":[14,41,52,63,73,82,106,130],"subjectivity":[16],"of":[17,67,77],"engineers,":[19],"one":[20],"concept":[21],"might":[22],"be":[23],"expressed":[24],"in":[25],"various":[26],"ways,":[27],"yielding":[28],"so-called":[30],"heterogeneity":[32],"problem,":[33],"matching":[36,46,175,181],"is":[37,71,87,104,120,128],"ground":[39],"method":[40],"address":[42],"this":[43,94,133],"problem.":[44,92,134],"Ontology":[45],"technique":[47,176],"uses":[48],"similarity":[50,78],"measure":[51],"determine":[53],"correspondences":[55],"between":[56],"two":[57],"heterogeneous":[58],"entities.":[60],"In":[61,135,166],"order":[62],"improve":[64],"quality":[66],"alignment,":[69],"it":[70],"necessary":[72],"combine":[74],"different":[75],"kinds":[76],"measures,":[79],"how":[81],"optimize":[83],"aggregating":[85],"weights":[86],"called":[88],"meta-matching":[91,118],"Tin":[93],"work,":[95],"heuristic":[97],"evaluating":[98],"metric":[99],"alignment":[103],"presented":[105],"evaluate":[107],"alignment's":[110],"quality,":[111],"mathematical":[114],"model":[115],"problem":[119],"constructed.":[121],"Then,":[122],"an":[123],"Adaptive":[124],"Evolutionary":[125],"Algorithm":[126],"(AEA)":[127],"proposed":[129],"effectively":[131],"solve":[132],"particular,":[136],"when":[137],"elite":[139],"solution":[140],"remains":[141],"unchanged,":[142],"AEA":[143,171],"adaptively":[144],"activates":[145],"three":[146],"independent":[147],"exploring":[148],"strategies,":[149],"which,":[150],"respectively":[151],"use":[152],"adaptive":[154],"selection,":[155],"crossover":[156],"mutation":[158],"operators":[159],"based":[160,174],"population":[163],"diversity":[164],"metric.":[165],"experiment,":[168],"we":[169],"compare":[170],"among":[172],"EA":[173],"state-of-the-art":[179],"technique,":[182],"experimental":[185],"results":[186],"show":[187],"its":[188],"effectiveness.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
