{"id":"https://openalex.org/W4403332030","doi":"https://doi.org/10.23919/fusion59988.2024.10706325","title":"HLIF2024: a Competition for High-Level Information Fusion","display_name":"HLIF2024: a Competition for High-Level Information Fusion","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403332030","doi":"https://doi.org/10.23919/fusion59988.2024.10706325"},"language":"en","primary_location":{"id":"doi:10.23919/fusion59988.2024.10706325","doi":"https://doi.org/10.23919/fusion59988.2024.10706325","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706325","pdf_url":null,"source":{"id":"https://openalex.org/S4363608153","display_name":"International Conference on Information Fusion (FUSION)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},"volume":null,"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/A5022272004","display_name":"Claire Laudy","orcid":"https://orcid.org/0009-0009-3039-3224","observed_orcids":["https://orcid.org/0009-0009-3039-3224"]},"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":"Claire Laudy","raw_affiliation_strings":["Thales,Palaiseau,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Palaiseau,France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083198263","display_name":"Nicolas Museux","orcid":"https://orcid.org/0000-0001-8097-8604","observed_orcids":["https://orcid.org/0000-0001-8097-8604"]},"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":"Nicolas Museux","raw_affiliation_strings":["Thales,Palaiseau,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Palaiseau,France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010529242","display_name":"Simon Fossier","orcid":null,"observed_orcids":[]},"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":"Simon Fossier","raw_affiliation_strings":["Thales,Palaiseau,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Palaiseau,France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109025447","display_name":"C\u00e9line Reverdy","orcid":null,"observed_orcids":[]},"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":"C\u00e9line Reverdy","raw_affiliation_strings":["Thales,Palaiseau,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Palaiseau,France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109025448","display_name":"Tom Foug\u00e8re","orcid":null,"observed_orcids":[]},"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":"Tom Foug\u00e8re","raw_affiliation_strings":["Thales,Toulouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Toulouse,France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014017559","display_name":"Amandine Audouy","orcid":null,"observed_orcids":[]},"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":"Amandine Audouy","raw_affiliation_strings":["Thales,Toulouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Toulouse,France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111362440","display_name":"Clara Lopez","orcid":null,"observed_orcids":[]},"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":"Clara Lopez","raw_affiliation_strings":["Thales,Toulouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Toulouse,France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098805146","display_name":"Florent Chenevier","orcid":null,"observed_orcids":[]},"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":"Florent Chenevier","raw_affiliation_strings":["Thales,Toulouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales,Toulouse,France","institution_ids":["https://openalex.org/I4210140930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210140930"],"apc_list":null,"apc_paid":null,"fwci":0.2887,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49957496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.8895999789237976,"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":0.8895999789237976,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.0071000000461936,"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/T10028","display_name":"Topic Modeling","score":0.006200000178068876,"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/information-extraction","display_name":"information extraction","score":0.7649999856948853},{"id":"https://openalex.org/keywords/aviation-data","display_name":"aviation data","score":0.40299999713897705},{"id":"https://openalex.org/keywords/pilot-decision-support","display_name":"pilot decision support","score":0.8740000128746033},{"id":"https://openalex.org/keywords/domain-ontology","display_name":"domain ontology","score":0.8309999704360962},{"id":"https://openalex.org/keywords/ontology-population","display_name":"ontology population","score":0.6460000276565552},{"id":"https://openalex.org/keywords/question-answering","display_name":"question answering","score":0.5989999771118164},{"id":"https://openalex.org/keywords/evaluation-indicators","display_name":"evaluation metrics","score":0.5519999861717224},{"id":"https://openalex.org/keywords/automated-data-processing","display_name":"automated data processing","score":0.41600000858306885}],"concepts":[{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.6247548460960388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5248215794563293},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5184128284454346},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.43158653378486633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19386160373687744},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion59988.2024.10706325","doi":"https://doi.org/10.23919/fusion59988.2024.10706325","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706325","pdf_url":null,"source":{"id":"https://openalex.org/S4363608153","display_name":"International Conference on Information Fusion (FUSION)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1972250810","https://openalex.org/W2008536086","https://openalex.org/W2017449401","https://openalex.org/W2145562413","https://openalex.org/W2593649365","https://openalex.org/W2735949333","https://openalex.org/W2943552823","https://openalex.org/W2963748441","https://openalex.org/W3010835956","https://openalex.org/W3011814133","https://openalex.org/W3154506182","https://openalex.org/W4241855193"],"related_works":["https://openalex.org/W4413680159","https://openalex.org/W2402068678","https://openalex.org/W1521079880","https://openalex.org/W2406522146","https://openalex.org/W2030852274","https://openalex.org/W2011082703","https://openalex.org/W2158099476","https://openalex.org/W2144693879","https://openalex.org/W2160146400","https://openalex.org/W4240893791"],"abstract_inverted_index":{"This":[0],"paper":[1,22],"presents":[2,23],"the":[3,8,18,24,30,47,67,79,86,88,105,116,125,130,137,146,157,165,171],"HLIF2024":[4,6],"competition.":[5],"is":[7,44,76,133],"first":[9],"competition":[10,147,166],"for":[11],"High-Level":[12],"Information":[13],"Fusion":[14],"solutions,":[15],"co-organized":[16],"with":[17,29,57,113,136],"FUSION2024":[19,172],"conference.":[20,173],"The":[21,42,108,127,149,162],"challenge":[25,43,68,106],"use":[26,131],"case":[27,132],"associated":[28],"competition:":[31],"information":[32,75,84],"extraction":[33],"and":[34,119,143,152],"fusion":[35],"from":[36],"Notices":[37],"to":[38,45,54,85,92,103,115,124,145,155],"Air":[39],"Missions":[40],"data.":[41],"automate":[46],"processing":[48],"of":[49,121,164],"this":[50],"data,":[51],"in":[52],"order":[53],"support":[55],"pilots":[56],"their":[58,122],"decision":[59],"making":[60],"tasks":[61],"during":[62,73],"flights.":[63],"To":[64,81],"simulate":[65],"this,":[66],"involves":[69],"a":[70,94],"fictitious":[71],"flight":[72],"which":[74],"requested":[77],"by":[78],"pilot.":[80],"provide":[82],"pertinent":[83],"pilots,":[87],"participants":[89,109,158],"are":[90,111,160],"asked":[91],"populate":[93],"given":[95],"domain":[96],"ontology":[97],"that":[98,140],"can":[99],"then":[100],"be":[101,168],"queried":[102],"answer":[104],"questions.":[107,126],"solutions":[110,159],"evaluated":[112],"regard":[114],"correctness,":[117],"completeness":[118],"preciseness":[120],"answers":[123],"motivation":[128],"behind":[129],"presented,":[134],"together":[135],"practice":[138],"dataset":[139],"was":[141],"built":[142],"provided":[144],"participants.":[148],"evaluation":[150],"methodology":[151],"metrics":[153],"used":[154],"rank":[156],"detailed.":[161],"results":[163],"will":[167],"presented":[169],"at":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-10-12T00:00:00"}