{"id":"https://openalex.org/W7125917064","doi":"https://doi.org/10.1109/smc58881.2025.11343003","title":"Ontology-Based Semantic Integration of Multi-Source Heterogeneous Industrial Devices","display_name":"Ontology-Based Semantic Integration of Multi-Source Heterogeneous Industrial Devices","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125917064","doi":"https://doi.org/10.1109/smc58881.2025.11343003"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5101414722","display_name":"Rina Wu","orcid":"https://orcid.org/0000-0002-3787-3230"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rina Wu","raw_affiliation_strings":["Beijing University of Technology,College of Computer Science,Beijing,China,100124"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,College of Computer Science,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057935426","display_name":"Jing Bi","orcid":"https://orcid.org/0000-0002-4610-0141"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Bi","raw_affiliation_strings":["Beijing University of Technology,College of Computer Science,Beijing,China,100124"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,College of Computer Science,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438233","display_name":"Ziqi Wang","orcid":"https://orcid.org/0000-0001-7176-2369"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Wang","raw_affiliation_strings":["Zhejiang University,School of Software Technology,Ningbo,China,315100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,School of Software Technology,Ningbo,China,315100","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070546858","display_name":"Haitao Yuan","orcid":"https://orcid.org/0000-0001-8475-419X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Yuan","raw_affiliation_strings":["Beihang University,School of Automation Science and Electrical Engineering,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Automation Science and Electrical Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018608721","display_name":"Hailiang Zhao","orcid":"https://orcid.org/0000-0003-2850-6815"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailiang Zhao","raw_affiliation_strings":["Zhejiang University,School of Software Technology,Ningbo,China,315100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,School of Software Technology,Ningbo,China,315100","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075236921","display_name":"Yanan Liu","orcid":"https://orcid.org/0000-0001-7357-1793"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Liu","raw_affiliation_strings":["Beijing University of Technology,College of Computer Science,Beijing,China,100124"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,College of Computer Science,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124064087","display_name":"Jia Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Zhang","raw_affiliation_strings":["Southern Methodist University,Dept. of Computer Science in Lyle School of Engineering,Dallas,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Methodist University,Dept. of Computer Science in Lyle School of Engineering,Dallas,TX,USA","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2815","last_page":"2820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.3813000023365021,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.3813000023365021,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.15309999883174896,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.04919999837875366,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5453000068664551},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5444999933242798},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5083000063896179},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4496000111103058},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4307999908924103},{"id":"https://openalex.org/keywords/rule-of-inference","display_name":"Rule of inference","score":0.3828999996185303},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.3709999918937683},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3395000100135803},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.3375999927520752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480000257492065},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5453000068664551},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5444999933242798},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5083000063896179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5006999969482422},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3977999985218048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3855000138282776},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.3375999927520752},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C21338462","wikidata":"https://www.wikidata.org/wiki/Q1662581","display_name":"Information model","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.2547000050544739},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5010255575180054}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2404048076","https://openalex.org/W2990567612","https://openalex.org/W3088770705","https://openalex.org/W3097270688","https://openalex.org/W3100926328","https://openalex.org/W4295046470","https://openalex.org/W4366825008","https://openalex.org/W4383109341","https://openalex.org/W4386609140","https://openalex.org/W4386781440","https://openalex.org/W4389493054","https://openalex.org/W4390905219","https://openalex.org/W4391308393","https://openalex.org/W4392807172","https://openalex.org/W4395056521","https://openalex.org/W4396909918","https://openalex.org/W4400647451","https://openalex.org/W4406094336","https://openalex.org/W4406856686","https://openalex.org/W4410427596"],"related_works":[],"abstract_inverted_index":{"The":[0],"3C":[1],"industry":[2],"uses":[3],"industrial":[4,34],"internet":[5],"platforms":[6],"to":[7,96,118,147,179],"tackle":[8],"data":[9],"fragmentation,":[10],"poor":[11,41],"collaboration,":[12],"and":[13,23,45,52,93,99,112,138,161],"semantic":[14],"mismatches,":[15],"driving":[16],"digital":[17],"transformation.":[18],"Although":[19],"the":[20,124,157,166],"Object":[21],"Linking":[22],"Embedding":[24],"for":[25],"Process":[26],"Control":[27],"Unified":[28],"Architecture":[29],"(OPC":[30],"UA)":[31],"standard":[32],"supports":[33],"automation,":[35],"it":[36],"faces":[37],"several":[38],"limitations,":[39],"including":[40],"compatibility,":[42],"ambiguous":[43],"semantics,":[44],"incomplete":[46],"models,":[47],"which":[48],"hinder":[49],"automated":[50,82],"reasoning":[51,83,121,163],"system":[53],"interoperability.":[54],"To":[55],"address":[56],"these":[57],"issues,":[58],"this":[59],"work":[60],"proposes":[61],"an":[62,113,148],"integrated":[63],"framework":[64,131],"that":[65,143],"combines":[66],"offline":[67,159],"classification":[68],"of":[69,168],"heterogeneous":[70],"devices":[71],"using":[72],"a":[73,105],"Character-level":[74],"Text":[75],"Convolutional":[76],"Neural":[77],"Network":[78],"(CTCNN)":[79],"with":[80],"online":[81,162],"over":[84],"OPC":[85,125,134,170],"UA":[86,126,135,171],"information":[87,172],"models.":[88],"CTCNN":[89,144],"leverages":[90],"character-level":[91],"embeddings":[92],"convolutional":[94],"layers":[95],"achieve":[97],"fine-grained":[98],"accurate":[100],"device":[101,136,152],"type":[102,153],"recognition.":[103],"Furthermore,":[104],"deterministic":[106],"Markov":[107],"decision":[108],"process":[109],"is":[110,116],"formulated,":[111],"intelligent":[114],"agent":[115],"trained":[117],"perform":[119],"automatic":[120,169],"based":[122],"on":[123],"model":[127,173],"structure.":[128],"This":[129],"hybrid":[130],"enables":[132],"effective":[133],"integration":[137],"interconnection.":[139],"Experimental":[140],"results":[141],"demonstrate":[142],"achieves":[145],"up":[146],"18%":[149],"improvement":[150],"in":[151],"identification":[154],"precision,":[155],"while":[156],"combined":[158],"recognition":[160],"approach":[164],"enhances":[165],"accuracy":[167],"inference":[174],"by":[175],"approximately":[176],"12%":[177],"compared":[178],"state-of-the-art":[180],"methods.":[181]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-29T00:00:00"}