{"id":"https://openalex.org/W4414094473","doi":"https://doi.org/10.34133/icomputing.0180","title":"An Intelligent Causality Analysis System for Aviation Safety Based on Nonaxiomatic Logic Graphs","display_name":"An Intelligent Causality Analysis System for Aviation Safety Based on Nonaxiomatic Logic Graphs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414094473","doi":"https://doi.org/10.34133/icomputing.0180"},"language":"en","primary_location":{"id":"doi:10.34133/icomputing.0180","is_oa":true,"landing_page_url":"https://doi.org/10.34133/icomputing.0180","pdf_url":null,"source":{"id":"https://openalex.org/S4387281904","display_name":"Intelligent Computing","issn_l":"2771-5892","issn":["2771-5892"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.34133/icomputing.0180","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yang Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Jiang","raw_affiliation_strings":["School of Computer Science and Technology, \rCivil Aviation University of China, Tianjin 300300, China","CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, \rCivil Aviation University of China, Tianjin 300300, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"CHINA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013918700","display_name":"Xingjie Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingjie Feng","raw_affiliation_strings":["School of Computer Science and Technology, \rCivil Aviation University of China, Tianjin 300300, China","(School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, \rCivil Aviation University of China, Tianjin 300300, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"(School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China)","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038086910","display_name":"Weigang Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weigang Huo","raw_affiliation_strings":["School of Computer Science and Technology, \rCivil Aviation University of China, Tianjin 300300, China","(School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, \rCivil Aviation University of China, Tianjin 300300, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"(School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China)","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101746242","display_name":"Pei Wang","orcid":"https://orcid.org/0000-0002-4825-1875"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pei Wang","raw_affiliation_strings":["Department of Computer and Information Sciences, \rTemple University, Philadelphia, PA, USA","Department of Computer and Information Sciences, Temple University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, \rTemple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2137492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9455999732017517,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8023999929428101},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.6305999755859375},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.4675000011920929},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45590001344680786},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.453900009393692},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.42100000381469727},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.420199990272522},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4025999903678894}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8023999929428101},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6305999755859375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6169000267982483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4936999976634979},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.4675000011920929},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C538199239","wikidata":"https://www.wikidata.org/wiki/Q640853","display_name":"Aviation safety","level":3,"score":0.37610000371932983},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32850000262260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3199999928474426},{"id":"https://openalex.org/C2909164965","wikidata":"https://www.wikidata.org/wiki/Q6014597","display_name":"Incident report","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C2908613842","wikidata":"https://www.wikidata.org/wiki/Q108284447","display_name":"Aviation accident","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C132835097","wikidata":"https://www.wikidata.org/wiki/Q7663745","display_name":"System safety","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2549000084400177},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.34133/icomputing.0180","is_oa":true,"landing_page_url":"https://doi.org/10.34133/icomputing.0180","pdf_url":null,"source":{"id":"https://openalex.org/S4387281904","display_name":"Intelligent Computing","issn_l":"2771-5892","issn":["2771-5892"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:18a07817edbd454badc878b5d45b4b63","is_oa":true,"landing_page_url":"https://doaj.org/article/18a07817edbd454badc878b5d45b4b63","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":"Intelligent Computing, Vol 4 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.34133/icomputing.0180","is_oa":true,"landing_page_url":"https://doi.org/10.34133/icomputing.0180","pdf_url":null,"source":{"id":"https://openalex.org/S4387281904","display_name":"Intelligent Computing","issn_l":"2771-5892","issn":["2771-5892"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4502781126","display_name":null,"funder_award_id":"U1633110","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W103844816","https://openalex.org/W1989523077","https://openalex.org/W2790922820","https://openalex.org/W3127624760","https://openalex.org/W3187851437","https://openalex.org/W4225150645","https://openalex.org/W4253799491","https://openalex.org/W4281651386","https://openalex.org/W4282027681","https://openalex.org/W4295346149","https://openalex.org/W4302423442","https://openalex.org/W4304694909","https://openalex.org/W4315650971","https://openalex.org/W4315797985","https://openalex.org/W4353055393","https://openalex.org/W4367396771","https://openalex.org/W4380742938","https://openalex.org/W4382281637","https://openalex.org/W4388113962","https://openalex.org/W4389306213","https://openalex.org/W4390102620","https://openalex.org/W4390123143","https://openalex.org/W4396553402","https://openalex.org/W4400701542","https://openalex.org/W4401176542"],"related_works":["https://openalex.org/W4390719751","https://openalex.org/W1583280211","https://openalex.org/W2475877807","https://openalex.org/W2358053497","https://openalex.org/W76517065","https://openalex.org/W577697832","https://openalex.org/W2758568560","https://openalex.org/W3008788504","https://openalex.org/W4320917001","https://openalex.org/W2115815699"],"abstract_inverted_index":{"To":[0],"realize":[1],"interpretable":[2],"causality":[3,17,42,49,86],"analysis":[4,87,129,145],"of":[5,76,95,144],"aviation":[6,11,53,96,102],"safety":[7,12,54,97,103],"incidents":[8,98],"based":[9,21,80,119],"on":[10,22,81,120],"incident":[13,55,104],"records,":[14,56],"a":[15,85,100,111,121],"nonaxiomatic":[16,23,77],"ontology":[18,59],"graph":[19,37],"(NACOG)":[20],"logic":[24,78],"semantics":[25],"is":[26,45,61,105,114],"proposed,":[27],"and":[28,32,57,79,116,138],"the":[29,36,68,73,82,142],"corresponding":[30],"construction":[31],"updating":[33],"algorithms":[34],"for":[35],"are":[38],"given.":[39],"An":[40],"explicit":[41],"extraction":[43],"framework":[44],"designed":[46],"to":[47,63],"extract":[48],"tuple":[50],"pairs":[51],"from":[52],"domain":[58],"mapping":[60],"used":[62],"eliminate":[64],"inconsistent":[65],"descriptions":[66],"in":[67,99,136],"extracted":[69],"pairs.":[70],"Combined":[71],"with":[72,127],"inference":[74],"rules":[75],"proposed":[83],"NACOG,":[84],"algorithm":[88],"that":[89],"can":[90],"infer":[91],"all":[92],"potential":[93],"causes":[94],"new":[101],"presented.":[106],"Under":[107],"this":[108,131],"NACOG":[109],"model,":[110],"software":[112],"application":[113],"developed,":[115],"experimental":[117],"results":[118],"real":[122],"dataset":[123],"show":[124],"that,":[125],"compared":[126],"other":[128],"models,":[130],"model":[132],"has":[133],"obvious":[134],"advantages":[135],"scalability":[137],"interpretability":[139],"while":[140],"ensuring":[141],"accuracy":[143],"results.":[146]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}