{"id":"https://openalex.org/W3165885572","doi":"https://doi.org/10.1145/3439772","title":"Optimizing Ontology Alignment Through an Interactive Compact Genetic Algorithm","display_name":"Optimizing Ontology Alignment Through an Interactive Compact Genetic Algorithm","publication_year":2021,"publication_date":"2021-05-20","ids":{"openalex":"https://openalex.org/W3165885572","doi":"https://doi.org/10.1145/3439772","mag":"3165885572"},"language":"en","primary_location":{"id":"doi:10.1145/3439772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439772","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","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/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]},{"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, China and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, China and Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian University of Technology, China and School of Computer Science and Mathematics, Fujian University of Technology, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, China and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, China and Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian University of Technology, China and School of Computer Science and Mathematics, Fujian University of Technology, Fujian, China","institution_ids":["https://openalex.org/I83791580","https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101475820","display_name":"Xiaojing Wu","orcid":"https://orcid.org/0000-0003-1178-6160"},"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":"Xiaojing Wu","raw_affiliation_strings":["Intelligent Information Processing Research Center, Fujian University of Technology China and School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Information Processing Research Center, Fujian University of Technology China and School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","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":["Hohai University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053458745"],"corresponding_institution_ids":["https://openalex.org/I5343935","https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":1.3991,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84773018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"12","issue":"2","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9901999831199646,"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":0.9898999929428101,"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/ontology-alignment","display_name":"Ontology alignment","score":0.7599121332168579},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.748731255531311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397950887680054},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.6157083511352539},{"id":"https://openalex.org/keywords/prot\u00e9g\u00e9","display_name":"Prot\u00e9g\u00e9","score":0.5375122427940369},{"id":"https://openalex.org/keywords/ontology-engineering","display_name":"Ontology engineering","score":0.5019214153289795},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.49834132194519043},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4874270260334015},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.4665847420692444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45772039890289307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4296955466270447},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4234223961830139},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.13907259702682495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10673403739929199}],"concepts":[{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.7599121332168579},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.748731255531311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397950887680054},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.6157083511352539},{"id":"https://openalex.org/C2779247653","wikidata":"https://www.wikidata.org/wiki/Q2066865","display_name":"Prot\u00e9g\u00e9","level":3,"score":0.5375122427940369},{"id":"https://openalex.org/C2778820784","wikidata":"https://www.wikidata.org/wiki/Q1027508","display_name":"Ontology engineering","level":4,"score":0.5019214153289795},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.49834132194519043},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4874270260334015},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.4665847420692444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45772039890289307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4296955466270447},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4234223961830139},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.13907259702682495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10673403739929199},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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:10.1145/3439772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439772","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"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/G5367488345","display_name":null,"funder_award_id":"2020J01875","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"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":30,"referenced_works":["https://openalex.org/W1504174301","https://openalex.org/W1527927437","https://openalex.org/W2013093146","https://openalex.org/W2081580037","https://openalex.org/W2082639297","https://openalex.org/W2104126268","https://openalex.org/W2109123801","https://openalex.org/W2116246756","https://openalex.org/W2135223301","https://openalex.org/W2144244034","https://openalex.org/W2147393868","https://openalex.org/W2159583324","https://openalex.org/W2164508904","https://openalex.org/W2249233388","https://openalex.org/W2276489183","https://openalex.org/W2479500447","https://openalex.org/W2613995098","https://openalex.org/W2757848255","https://openalex.org/W2792734146","https://openalex.org/W2887191358","https://openalex.org/W2904277245","https://openalex.org/W2913327674","https://openalex.org/W2921040595","https://openalex.org/W3005272614","https://openalex.org/W3005952462","https://openalex.org/W3010213102","https://openalex.org/W3014498469","https://openalex.org/W4239696231","https://openalex.org/W4251146235","https://openalex.org/W6773485564"],"related_works":["https://openalex.org/W1885336500","https://openalex.org/W4236095856","https://openalex.org/W863835048","https://openalex.org/W2054821640","https://openalex.org/W1582794022","https://openalex.org/W149627178","https://openalex.org/W2351536913","https://openalex.org/W4241246209","https://openalex.org/W1493197602","https://openalex.org/W4206428734"],"abstract_inverted_index":{"Ontology":[0,201],"provides":[1],"a":[2,6,110,116,168,180],"shared":[3],"vocabulary":[4],"of":[5,13,102,160,197],"domain":[7,38],"by":[8],"formally":[9],"representing":[10],"the":[11,16,21,27,33,36,49,71,75,78,84,133,141,144,149,161,174,191,195,200,208,217],"meaning":[12],"its":[14],"concepts,":[15],"properties":[17],"they":[18],"possess,":[19],"and":[20,44,56,60,115,135,178,207],"relations":[22],"among":[23],"them,":[24],"which":[25,47,100],"is":[26,67,128,153],"state-of-the-art":[28],"knowledge":[29,57],"modeling":[30,43],"technique.":[31,81],"However,":[32],"ontologies":[34,76],"in":[35,41,140],"same":[37],"could":[39],"differ":[40],"conceptual":[42],"granularity":[45],"level,":[46],"yields":[48],"ontology":[50,79,85,97,105,175,218],"heterogeneity":[51],"problem.":[52],"To":[53,82],"enable":[54],"data":[55],"transfer,":[58],"share,":[59],"reuse":[61],"between":[62,74],"two":[63,186],"intelligent":[64],"systems,":[65],"it":[66,137],"important":[68],"to":[69,130,155,172,184],"bridge":[70],"semantic":[72],"gap":[73],"through":[77],"matching":[80,98,106,176],"optimize":[83],"alignment\u2019s":[86],"quality,":[87],"this":[88],"article":[89],"proposes":[90],"an":[91,103,123],"Interactive":[92],"Compact":[93,111],"Genetic":[94,112],"Algorithm":[95,113],"(ICGA)-based":[96],"technique,":[99],"consists":[101],"automatic":[104],"process":[107,120],"based":[108,121,147],"on":[109,122,148],"(CGA)":[114],"collaborative":[117,145],"user":[118],"validating":[119],"argumentation":[124,151],"framework.":[125],"First,":[126],"CGA":[127,157],"used":[129],"automatically":[131],"match":[132],"ontologies,":[134],"when":[136],"gets":[138],"stuck":[139],"local":[142,162],"optima,":[143],"validation":[146],"multi-relationship":[150],"framework":[152],"activated":[154],"help":[156],"jump":[158],"out":[159],"optima.":[163],"In":[164,190],"addition,":[165],"we":[166,193],"construct":[167],"discrete":[169],"optimization":[170],"model":[171],"define":[173],"problem":[177],"propose":[179],"hybrid":[181],"similarity":[182,188],"measure":[183],"calculate":[185],"concepts\u2019":[187],"value.":[189],"experiment,":[192],"test":[194],"performance":[196],"ICGA":[198,213],"with":[199,220],"Alignment":[202],"Evaluation":[203],"Initiative\u2019s":[204],"interactive":[205],"track,":[206],"experimental":[209],"results":[210],"show":[211],"that":[212],"can":[214],"effectively":[215],"determine":[216],"alignments":[219],"high":[221],"quality.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}