{"id":"https://openalex.org/W4413377839","doi":"https://doi.org/10.3390/bdcc9080208","title":"Ontology Matching Method Based on Deep Learning and Syntax","display_name":"Ontology Matching Method Based on Deep Learning and Syntax","publication_year":2025,"publication_date":"2025-08-14","ids":{"openalex":"https://openalex.org/W4413377839","doi":"https://doi.org/10.3390/bdcc9080208"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9080208","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9080208","pdf_url":"https://www.mdpi.com/2504-2289/9/8/208/pdf?version=1755231784","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/8/208/pdf?version=1755231784","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101617112","display_name":"Jiawei Lu","orcid":"https://orcid.org/0009-0004-9048-3743"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Lu","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090947524","display_name":"Changfeng Yan","orcid":"https://orcid.org/0000-0001-5472-9401"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changfeng Yan","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China","institution_ids":["https://openalex.org/I22716506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090947524"],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1085795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"8","first_page":"208","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9933000206947327,"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":0.9921000003814697,"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/computer-science","display_name":"Computer science","score":0.7597248554229736},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.7010217308998108},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5992439985275269},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.544470489025116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5420234799385071},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5075017809867859},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.43463844060897827},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.139384925365448},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.13282084465026855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07262849807739258},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05569082498550415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597248554229736},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.7010217308998108},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5992439985275269},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.544470489025116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5420234799385071},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5075017809867859},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.43463844060897827},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.139384925365448},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.13282084465026855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07262849807739258},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05569082498550415},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9080208","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9080208","pdf_url":"https://www.mdpi.com/2504-2289/9/8/208/pdf?version=1755231784","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bff7c0250e144c968d27099abd9f37ec","is_oa":true,"landing_page_url":"https://doaj.org/article/bff7c0250e144c968d27099abd9f37ec","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 8, p 208 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9080208","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9080208","pdf_url":"https://www.mdpi.com/2504-2289/9/8/208/pdf?version=1755231784","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1849354501","display_name":null,"funder_award_id":"51165018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8808195951","display_name":null,"funder_award_id":"2022CXZX-407","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413377839.pdf","grobid_xml":"https://content.openalex.org/works/W4413377839.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W3008502799","https://openalex.org/W3013308250","https://openalex.org/W3020873385","https://openalex.org/W3032677642","https://openalex.org/W3098346979","https://openalex.org/W3127381645","https://openalex.org/W3128366024","https://openalex.org/W3136802089","https://openalex.org/W3136858946","https://openalex.org/W3157036810","https://openalex.org/W3171177851","https://openalex.org/W3174543926","https://openalex.org/W3175848210","https://openalex.org/W3203928055","https://openalex.org/W3210692546","https://openalex.org/W4205268971","https://openalex.org/W4213374565","https://openalex.org/W4282023524","https://openalex.org/W4284967095","https://openalex.org/W4285387669","https://openalex.org/W4286487960","https://openalex.org/W4295028386","https://openalex.org/W4296041706","https://openalex.org/W4297961645","https://openalex.org/W4306955484","https://openalex.org/W4327560053","https://openalex.org/W4382008945","https://openalex.org/W4383215259","https://openalex.org/W4387746371","https://openalex.org/W4388514671","https://openalex.org/W4391951799","https://openalex.org/W4392681070","https://openalex.org/W4394906147","https://openalex.org/W4394939041","https://openalex.org/W4401070434","https://openalex.org/W4401626610","https://openalex.org/W4403158649","https://openalex.org/W4405999239","https://openalex.org/W4407155039","https://openalex.org/W4410119050","https://openalex.org/W4410382212","https://openalex.org/W6772868870","https://openalex.org/W6811106996","https://openalex.org/W6842854112","https://openalex.org/W6856332903","https://openalex.org/W6875428286"],"related_works":["https://openalex.org/W274732444","https://openalex.org/W149627178","https://openalex.org/W2386232412","https://openalex.org/W2793451634","https://openalex.org/W4206428734","https://openalex.org/W4248726527","https://openalex.org/W152870918","https://openalex.org/W2394920388","https://openalex.org/W2391790737","https://openalex.org/W2906101203"],"abstract_inverted_index":{"Ontology":[0],"technology":[1],"addresses":[2],"data":[3],"heterogeneity":[4,269],"challenges":[5],"in":[6,37,172,266,270],"Internet":[7],"of":[8,22,30,109,131,230,263],"Everything":[9],"(IoE)":[10],"systems":[11],"enabled":[12],"by":[13,68,185,225],"Cyber":[14],"Twin":[15],"and":[16,71,82,92,101,112,123,188,214,232,240,261],"6G,":[17],"yet":[18],"the":[19,31,96,106,116,129,139,144,165,175,186,192,196,201,218,223,236,245,259,264],"subjective":[20],"nature":[21],"ontology":[23,38,49,268],"engineering":[24],"often":[25],"leads":[26],"to":[27,205],"differing":[28],"definitions":[29],"same":[32],"concept":[33],"across":[34],"ontologies,":[35],"resulting":[36],"heterogeneity.":[39],"To":[40],"solve":[41],"this":[42,44],"problem,":[43],"study":[45],"introduces":[46],"a":[47,54,87,158,228],"hybrid":[48,208],"matching":[50,88],"method":[51,63,146,167,194,220,247,265],"that":[52,164,210,244],"integrates":[53],"Recurrent":[55],"Neural":[56],"Network":[57],"(RNN)":[58],"with":[59,149,235],"syntax-based":[60],"analysis.":[61],"The":[62,134,161],"first":[64],"extracts":[65],"representative":[66,150],"entities":[67],"leveraging":[69],"in-degree":[70],"out-degree":[72],"information":[73,122],"from":[74,153],"ontological":[75],"tree":[76],"structures,":[77],"which":[78],"reduces":[79],"training":[80],"noise":[81],"improves":[83],"model":[84,239],"generalization.":[85],"Next,":[86],"framework":[89],"combining":[90],"RNN":[91,97,238],"N-gram":[93,117],"is":[94],"designed:":[95],"captures":[98,120],"medium-distance":[99],"dependencies":[100],"complex":[102,271],"sequential":[103],"patterns,":[104],"supporting":[105],"dynamic":[107],"optimization":[108],"embedding":[110],"parameters":[111],"semantic":[113],"feature":[114],"extraction;":[115],"module":[118],"further":[119,221],"local":[121],"relationships":[124],"between":[125],"adjacent":[126],"characters,":[127],"improving":[128],"coverage":[130],"matched":[132],"entities.":[133],"experiments":[135],"were":[136],"conducted":[137],"on":[138],"OAEI":[140,154],"benchmark":[141],"dataset,":[142],"where":[143],"proposed":[145,166,193,219,246],"was":[147,180],"compared":[148,202],"baseline":[151],"methods":[152],"as":[155,157,183],"well":[156],"Transformer-based":[159],"method.":[160],"results":[162],"demonstrate":[163],"achieved":[168,248],"an":[169],"18.18%":[170],"improvement":[171,179],"F-measure":[173,224],"over":[174],"best-performing":[176],"baseline.":[177],"This":[178],"statistically":[181],"significant,":[182],"validated":[184],"Friedman":[187],"Holm":[189],"tests.":[190],"Moreover,":[191],"achieves":[195],"shortest":[197],"runtime":[198],"among":[199],"all":[200],"methods.":[203],"Compared":[204],"other":[206],"RNN-based":[207],"frameworks":[209],"adopt":[211],"classical":[212],"structure-based":[213],"semantics-based":[215],"similarity":[216],"measures,":[217],"improved":[222],"18.46%.":[226],"Furthermore,":[227],"comparison":[229],"time":[231],"space":[233],"complexity":[234],"standalone":[237],"its":[241],"variants":[242],"demonstrated":[243],"high":[249],"performance":[250],"while":[251],"maintaining":[252],"favorable":[253],"computational":[254],"efficiency.":[255],"These":[256],"findings":[257],"confirm":[258],"effectiveness":[260],"efficiency":[262],"addressing":[267],"IoE":[272],"environments.":[273]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}