{"id":"https://openalex.org/W4388505190","doi":"https://doi.org/10.1109/access.2023.3331585","title":"Improving FMEA Comprehensibility via Common-Sense Knowledge Graph Completion Techniques","display_name":"Improving FMEA Comprehensibility via Common-Sense Knowledge Graph Completion Techniques","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388505190","doi":"https://doi.org/10.1109/access.2023.3331585"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3331585","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3331585","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10313282.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":null,"license_id":null,"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/ielx7/6287639/6514899/10313282.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072129309","display_name":"Houssam Razouk","orcid":"https://orcid.org/0000-0002-9527-5781"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]},{"id":"https://openalex.org/I4210131793","display_name":"Infineon Technologies (Austria)","ror":"https://ror.org/03msng824","country_code":"AT","type":"company","lineage":["https://openalex.org/I137594350","https://openalex.org/I4210131793"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Houssam Razouk","raw_affiliation_strings":["Infineon Technologies Austria AG, Villach, Austria","Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria"],"raw_orcid":"https://orcid.org/0000-0002-9527-5781","affiliations":[{"raw_affiliation_string":"Infineon Technologies Austria AG, Villach, Austria","institution_ids":["https://openalex.org/I4210131793"]},{"raw_affiliation_string":"Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054296223","display_name":"Xing Lan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Xing Lan Liu","raw_affiliation_strings":["Area of Knowledge Discovery, Know-Center GmbH, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Area of Knowledge Discovery, Know-Center GmbH, Graz, Austria","institution_ids":["https://openalex.org/I4210088621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014398832","display_name":"Roman Kern","orcid":"https://orcid.org/0000-0003-0202-6100"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]},{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Roman Kern","raw_affiliation_strings":["Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria","Area of Knowledge Discovery, Know-Center GmbH, Graz, Austria"],"raw_orcid":"https://orcid.org/0000-0003-0202-6100","affiliations":[{"raw_affiliation_string":"Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Area of Knowledge Discovery, Know-Center GmbH, Graz, Austria","institution_ids":["https://openalex.org/I4210088621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072129309"],"corresponding_institution_ids":["https://openalex.org/I4092182","https://openalex.org/I4210131793"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.841,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88475387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"127974","last_page":"127986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9972000122070312,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8030235767364502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030235767364502}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3331585","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3331585","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10313282.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b36cb1dd64394b6f87c07783cad62233","is_oa":true,"landing_page_url":"https://doaj.org/article/b36cb1dd64394b6f87c07783cad62233","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 127974-127986 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3331585","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3331585","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10313282.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G2354848991","display_name":null,"funder_award_id":"826060","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7774680702","display_name":null,"funder_award_id":"826060","funder_id":"https://openalex.org/F4320327207","funder_display_name":"Electronic Components and Systems for European Leadership"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320327207","display_name":"Electronic Components and Systems for European Leadership","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388505190.pdf","grobid_xml":"https://content.openalex.org/works/W4388505190.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W1974494531","https://openalex.org/W2004298574","https://openalex.org/W2006132502","https://openalex.org/W2011799573","https://openalex.org/W2035738724","https://openalex.org/W2068313738","https://openalex.org/W2083686454","https://openalex.org/W2087286969","https://openalex.org/W2107244759","https://openalex.org/W2140303769","https://openalex.org/W2522323745","https://openalex.org/W2561529111","https://openalex.org/W2620843198","https://openalex.org/W2728059831","https://openalex.org/W2748338832","https://openalex.org/W2804842230","https://openalex.org/W2896457183","https://openalex.org/W2918064207","https://openalex.org/W2950393809","https://openalex.org/W2963101081","https://openalex.org/W2968995462","https://openalex.org/W2972167903","https://openalex.org/W2975036778","https://openalex.org/W2997545008","https://openalex.org/W3015453090","https://openalex.org/W3119104981","https://openalex.org/W3131933890","https://openalex.org/W3204920203","https://openalex.org/W4210979942","https://openalex.org/W4228996479","https://openalex.org/W4238625289","https://openalex.org/W4287646293","https://openalex.org/W6631964550","https://openalex.org/W6678830454","https://openalex.org/W6678991568","https://openalex.org/W6755207826","https://openalex.org/W6767905578","https://openalex.org/W6775750170","https://openalex.org/W6783754597"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"Failure":[1],"Mode":[2],"Effect":[3],"Analysis":[4],"process":[5,24],"(FMEA)":[6],"is":[7,25,126,154,183,250],"widely":[8],"used":[9],"in":[10,38,70,80,105,128,131,150,164,247],"industry":[11],"for":[12,111,223,236,252],"risk":[13],"assessment,":[14],"as":[15],"it":[16],"effectively":[17],"captures":[18],"and":[19,51,55,78,195],"documents":[20,163,179],"domain-specific":[21],"knowledge.":[22,31],"This":[23,57,156],"mainly":[26],"concerned":[27],"with":[28],"causal":[29],"domain":[30,209,248],"In":[32],"practical":[33],"applications,":[34],"FMEAs":[35],"encounter":[36],"challenges":[37],"terms":[39,81],"of":[40,47,64,82,84,99,139,147,171,197],"comprehensibility,":[41],"particularly":[42],"related":[43],"to":[44,61,103,122,205],"inadequate":[45],"coverage":[46],"listed":[48],"failure":[49,100],"modes":[50],"their":[52],"corresponding":[53],"effects":[54],"causes.":[56],"can":[58],"be":[59,206],"attributed":[60],"the":[62,71,76,85,88,145,169,192,198,213,259],"limitations":[63],"traditional":[65],"brainstorming":[66],"approaches":[67,91],"typically":[68],"employed":[69],"FMEA":[72,113,162,178,238],"process.":[73],"Depending":[74],"on":[75,161,177,191,212],"size":[77],"diversity":[79],"disciplines":[83],"team":[86],"conducting":[87],"analysis,":[89],"these":[90],"may":[92],"not":[93],"adequately":[94],"capture":[95],"a":[96],"comprehensive":[97],"range":[98],"modes,":[101],"leading":[102],"gaps":[104],"coverage.":[106],"To":[107],"this":[108,124,159,215],"end,":[109],"methods":[110,149,176,186],"improving":[112,237,258],"knowledge":[114,133,173,220,225,233,239],"comprehensibility":[115],"are":[116,228],"highly":[117],"needed.":[118],"A":[119],"potential":[120],"approach":[121],"address":[123],"gap":[125],"rooted":[127],"recent":[129],"advances":[130],"common-sense":[132,172,224],"graph":[134,141,174,221,226,234],"completion":[135,175,227],"have":[136],"illustrated":[137],"effectiveness":[138],"text-aware":[140,219],"embedding":[142,222,235],"methods.":[143],"However,":[144],"applicability":[146],"such":[148],"an":[151,165],"industrial":[152,166],"setting":[153],"limited.":[155],"paper":[157,216],"addresses":[158],"issue":[160],"environment.":[167],"Here,":[168],"application":[170],"from":[180],"semiconductor":[181],"manufacturing":[182],"studied.":[184],"These":[185],"achieve":[187],"over":[188],"20%":[189],"MRR":[190],"test":[193],"set":[194],"70%":[196],"top":[199],"10":[200],"predictions":[201],"were":[202],"manually":[203],"assessed":[204],"plausible":[207],"by":[208],"experts.":[210],"Based":[211],"evaluation,":[214],"confirms":[217],"that":[218,244],"more":[229,254],"effective":[230],"than":[231],"structure-only":[232],"comprehensibility.":[240],"Additionally":[241],"we":[242],"found":[243],"language":[245],"model":[246,261],"fine-tuning":[249],"beneficial":[251],"extracting":[253],"meaningful":[255],"embedding,":[256],"thus":[257],"overall":[260],"performance.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}