{"id":"https://openalex.org/W2987396845","doi":"https://doi.org/10.1145/3360901.3364430","title":"Knowledge Based Situation Discovery for Avionics Maintenance","display_name":"Knowledge Based Situation Discovery for Avionics Maintenance","publication_year":2019,"publication_date":"2019-09-23","ids":{"openalex":"https://openalex.org/W2987396845","doi":"https://doi.org/10.1145/3360901.3364430","mag":"2987396845"},"language":"en","primary_location":{"id":"doi:10.1145/3360901.3364430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360901.3364430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Knowledge Capture","raw_type":"proceedings-article"},"type":"preprint","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/A5073442951","display_name":"Luis Palacios Medinacelli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Luis Palacios Medinacelli","raw_affiliation_strings":["Unvi. Paris-Sud, Universit\u00e9 Paris-Scalay &amp; Thales TRT, Orsay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unvi. Paris-Sud, Universit\u00e9 Paris-Scalay &amp; Thales TRT, Orsay, France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030253334","display_name":"Yue Ma","orcid":"https://orcid.org/0000-0002-2805-2473"},"institutions":[{"id":"https://openalex.org/I4210166223","display_name":"Sciences Cognitives et Sciences Affectives","ror":"https://ror.org/05rqwc876","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I3018718406","https://openalex.org/I4210150854","https://openalex.org/I4210166223"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yue Ma","raw_affiliation_strings":["Unvi. Paris-Sud, Universit\u00e9 Paris-Scalay, Orsay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unvi. Paris-Sud, Universit\u00e9 Paris-Scalay, Orsay, France","institution_ids":["https://openalex.org/I4210166223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082680613","display_name":"Chantal Reynaud","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166223","display_name":"Sciences Cognitives et Sciences Affectives","ror":"https://ror.org/05rqwc876","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I3018718406","https://openalex.org/I4210150854","https://openalex.org/I4210166223"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chantal Reynaud","raw_affiliation_strings":["Unvi. Paris-Sud, Universit\u00e9 Paris-Scalay, Orsay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unvi. Paris-Sud, Universit\u00e9 Paris-Scalay, Orsay, France","institution_ids":["https://openalex.org/I4210166223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025138000","display_name":"Ga\u00eblle Lortal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120156","display_name":"Laboratoire Albert Fert","ror":"https://ror.org/02erddr56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210120156","https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ga\u00eblle Lortal","raw_affiliation_strings":["Thales TRT, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales TRT, Palaiseau, France","institution_ids":["https://openalex.org/I4210120156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14194265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9993000030517578,"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":0.9993000030517578,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11719","display_name":"Data Quality and Management","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/avionics","display_name":"Avionics","score":0.8949669599533081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7467131614685059},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7257431745529175},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5731278657913208},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.5101326107978821},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49072253704071045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44833192229270935},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.43890097737312317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36210811138153076},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.19161540269851685},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13101503252983093}],"concepts":[{"id":"https://openalex.org/C15792166","wikidata":"https://www.wikidata.org/wiki/Q221329","display_name":"Avionics","level":2,"score":0.8949669599533081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467131614685059},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7257431745529175},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5731278657913208},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.5101326107978821},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49072253704071045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44833192229270935},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.43890097737312317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36210811138153076},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.19161540269851685},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13101503252983093},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3360901.3364430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360901.3364430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Knowledge Capture","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02930192v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02930192","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"K-CAP '19: Knowledge Capture Conference, Nov 2019, Marina Del Rey CA, United States. pp.155-162, &#x27E8;10.1145/3360901.3364430&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7977851413","display_name":"Generating and Answering Ontological Queries over Semi-structured Medical Data","funder_award_id":"ANR-15-CE23-0022","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W62327733","https://openalex.org/W98416746","https://openalex.org/W124682970","https://openalex.org/W133872505","https://openalex.org/W1529875955","https://openalex.org/W1574148909","https://openalex.org/W1590257509","https://openalex.org/W1667574996","https://openalex.org/W1876998290","https://openalex.org/W1999785729","https://openalex.org/W2068768371","https://openalex.org/W2069455883","https://openalex.org/W2083855775","https://openalex.org/W2132232128","https://openalex.org/W2163866595","https://openalex.org/W2169042011","https://openalex.org/W2550353767","https://openalex.org/W2563547191","https://openalex.org/W2767835266","https://openalex.org/W2904432290","https://openalex.org/W2965350305","https://openalex.org/W2972916312","https://openalex.org/W4285719527","https://openalex.org/W4293690910"],"related_works":["https://openalex.org/W1589297475","https://openalex.org/W2330706584","https://openalex.org/W2903497870","https://openalex.org/W2164976164","https://openalex.org/W1583422155","https://openalex.org/W2115872796","https://openalex.org/W2158321484","https://openalex.org/W3213252596","https://openalex.org/W1649619740","https://openalex.org/W1534006406"],"abstract_inverted_index":{"For":[0],"knowledge":[1,19,37],"intensive":[2],"domains,":[3],"such":[4],"as":[5,93,129,131],"Avionics":[6,143],"Maintenance,":[7],"applying":[8],"automated":[9,23],"analysis":[10],"comes":[11],"with":[12,139],"a":[13,34,87,97],"major":[14],"challenge:":[15],"formalizing":[16],"complex":[17,49],"domain":[18],"and":[20,123,154],"conceiving":[21],"suitable":[22],"algorithms":[24,133],"for":[25],"real":[26],"world":[27],"requirements.":[28],"In":[29,116],"this":[30,117,160],"paper,":[31],"we":[32,119],"propose":[33,63],"study":[35,124],"on":[36],"discovery":[38],"to":[39,56,66,134,142],"assist":[40],"avionics":[41],"maintenance":[42],"via":[43],"identifying":[44],"meaningful":[45],"Description":[46],"Logic":[47],"based":[48,83],"concepts,":[50],"called":[51],"situation":[52],"discovery,":[53],"that":[54],"corresponds":[55],"crucial":[57],"scenarios":[58],"during":[59],"device":[60],"repair.":[61],"We":[62],"an":[64,74,77,151],"approach":[65,146],"automatic":[67],"learning":[68,103],"of":[69,89,96,102],"relevant":[70],"situations":[71,105,110],"hidden":[72,104],"in":[73,76,107,159],"ontology,":[75],"unsupervised":[78],"way.":[79],"Distinct":[80],"from":[81,111],"ontology":[82],"concept":[84],"learning,":[85],"where":[86],"set":[88],"instances":[90],"is":[91],"given":[92],"positive":[94],"examples":[95],"target":[98],"concept,":[99],"the":[100,121,132,136,156],"challenge":[101],"consists":[106],"discovering":[108],"significant":[109],"exponentially":[112],"many":[113],"unknown":[114],"situations.":[115],"paper":[118],"formalize":[120],"problem":[122],"some":[125],"related":[126],"complexity":[127],"results":[128],"well":[130],"solve":[135],"problem,":[137],"together":[138],"its":[140],"application":[141],"Maintenance.":[144],"The":[145],"has":[147],"been":[148],"integrated":[149],"into":[150],"enterprise":[152],"system":[153],"achieves":[155],"state-of-the-art":[157],"result":[158],"application.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
