{"id":"https://openalex.org/W4389891024","doi":"https://doi.org/10.1109/access.2023.3344320","title":"Machine Learning-Driven Ontological Knowledge Base for Bridge Corrosion Evaluation","display_name":"Machine Learning-Driven Ontological Knowledge Base for Bridge Corrosion Evaluation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389891024","doi":"https://doi.org/10.1109/access.2023.3344320"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3344320","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3344320","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10364838.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10364838.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001214092","display_name":"Yali Jiang","orcid":"https://orcid.org/0000-0002-0313-5619"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yali Jiang","raw_affiliation_strings":["College of Transportation Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-0313-5619","affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087036820","display_name":"Haijiang Li","orcid":"https://orcid.org/0000-0001-6326-8133"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haijiang Li","raw_affiliation_strings":["School of Engineering, Cardiff University, Cardiff, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6326-8133","affiliations":[{"raw_affiliation_string":"School of Engineering, Cardiff University, Cardiff, U.K","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005518","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0001-6828-2313"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["College of Transportation Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374051","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0001-5763-3480"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["ZJYY (Dalian) Bridge Underwater Inspection Company Ltd., Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJYY (Dalian) Bridge Underwater Inspection Company Ltd., Dalian, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101481096","display_name":"Kai Zhao","orcid":"https://orcid.org/0009-0002-3033-9921"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["School of Engineering and Architecture, University College Cork, Cork, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Architecture, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001214092"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1796,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83589646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"144735","last_page":"144746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9810000061988831,"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":0.9810000061988831,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/computer-science","display_name":"Computer science","score":0.829474687576294},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.656955361366272},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6368336081504822},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5608068108558655},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.532921314239502},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4858793616294861},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.4815014600753784},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4674236476421356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40744805335998535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38093122839927673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38008058071136475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829474687576294},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.656955361366272},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6368336081504822},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5608068108558655},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.532921314239502},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4858793616294861},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.4815014600753784},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4674236476421356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40744805335998535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38093122839927673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38008058071136475},{"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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3344320","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3344320","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10364838.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:164987","is_oa":true,"landing_page_url":null,"pdf_url":"https://orca.cardiff.ac.uk/id/eprint/164987/7/Machine_Learning-Driven_Ontological_Knowledge_Base_for_Bridge_Corrosion_Evaluation.pdf","source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:7814cbdc72c44bde995213db75eed7af","is_oa":true,"landing_page_url":"https://doaj.org/article/7814cbdc72c44bde995213db75eed7af","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 144735-144746 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3344320","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3344320","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10364838.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4611272068","display_name":null,"funder_award_id":"CSC 202006570025","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7167990961","display_name":null,"funder_award_id":"202006570025","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320320350","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389891024.pdf","grobid_xml":"https://content.openalex.org/works/W4389891024.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1568922413","https://openalex.org/W1702906569","https://openalex.org/W2102802363","https://openalex.org/W2123193563","https://openalex.org/W2124957697","https://openalex.org/W2329378435","https://openalex.org/W2493482878","https://openalex.org/W2615996648","https://openalex.org/W2618613105","https://openalex.org/W2750127748","https://openalex.org/W2921223492","https://openalex.org/W2945384014","https://openalex.org/W2978106670","https://openalex.org/W2982917236","https://openalex.org/W2999380148","https://openalex.org/W3037166419","https://openalex.org/W3083016734","https://openalex.org/W3093971097","https://openalex.org/W3099603893","https://openalex.org/W3165707607","https://openalex.org/W3195514377","https://openalex.org/W4220961454","https://openalex.org/W4281398005","https://openalex.org/W4283750508","https://openalex.org/W4284959001","https://openalex.org/W4286433166","https://openalex.org/W4310019796","https://openalex.org/W4310350238","https://openalex.org/W4320731162"],"related_works":["https://openalex.org/W2395929705","https://openalex.org/W2372304001","https://openalex.org/W4375958074","https://openalex.org/W2376097826","https://openalex.org/W1498088200","https://openalex.org/W2395092600","https://openalex.org/W1596945232","https://openalex.org/W166072682","https://openalex.org/W2382052616","https://openalex.org/W2359127710"],"abstract_inverted_index":{"In":[0],"bridge":[1,53,101,210],"maintenance,":[2],"assessing":[3],"structural":[4,47,79,181,187],"performance":[5,80,183],"requires":[6],"adherence":[7],"to":[8,58,71,113,123,149],"rules":[9,170],"outlined":[10],"in":[11,23,66,172,202,211],"safety":[12,182],"and":[13,20,26,76,106,137,205],"regulatory":[14],"standards":[15],"which":[16],"can":[17],"be":[18],"effectively":[19],"formally":[21],"represented":[22],"both":[24],"human":[25],"machine-readable":[27],"formats":[28],"using":[29],"ontologies.":[30],"However,":[31],"ontology-based":[32,155],"semantic":[33,156],"inference":[34],"alone":[35],"falls":[36],"short":[37],"when":[38],"faced":[39],"with":[40,81,94,128,154],"the":[41,69,115,125,164,169,173,180,190,196,199,212],"complicated":[42],"mathematical":[43],"operations":[44],"required":[45],"for":[46,99],"analysis.":[48],"The":[49,158],"increasing":[50],"digitization":[51],"of":[52,133,135,142,192,198],"engineering":[54],"has":[55],"opened":[56],"doors":[57],"data-driven":[59],"prediction":[60],"methods.":[61],"Machine":[62],"learning":[63],"(ML)-based":[64],"models,":[65],"particular,":[67],"have":[68],"capacity":[70],"learn":[72],"from":[73],"historical":[74],"data":[75],"forecast":[77],"future":[78],"remarkable":[82],"accuracy.":[83],"This":[84],"paper":[85],"introduces":[86],"an":[87,95],"innovative":[88],"approach":[89,160],"that":[90],"integrates":[91],"ML":[92,126,152],"models":[93],"ontological":[96],"knowledge":[97,116],"base":[98],"evaluating":[100],"corrosion.":[102,193],"Web":[103,108],"Ontology":[104],"Language":[105,110],"Semantic":[107],"Rule":[109],"are":[111],"combined":[112],"develop":[114],"base.":[117],"Random":[118],"forest":[119],"algorithm":[120],"is":[121,147,214],"used":[122],"train":[124],"model":[127],"a":[129,208,217],"good":[130],"agreement":[131],"(coefficient":[132],"determination":[134],"0.989":[136],"root":[138],"mean":[139],"square":[140],"error":[141],"1.200).":[143],"A":[144],"Python-based":[145],"module":[146],"designed":[148],"seamlessly":[150],"integrate":[151],"predictions":[153],"inference.":[157],"proposed":[159],"not":[161],"only":[162],"infers":[163,179],"corrosion":[165],"ratings":[166],"based":[167,184],"on":[168,185],"defined":[171],"Network":[174],"Rail":[175],"standard,":[176],"but":[177],"also":[178],"predicted":[186],"response":[188],"under":[189],"action":[191],"To":[194],"demonstrate":[195],"effectiveness":[197],"developed":[200],"method":[201],"enabling":[203],"accurate":[204],"rational":[206],"evaluations,":[207],"real":[209],"UK":[213],"showcased":[215],"as":[216],"practical":[218],"application.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
