{"id":"https://openalex.org/W2617136920","doi":"https://doi.org/10.24963/ijcai.2017/178","title":"How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval","display_name":"How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2617136920","doi":"https://doi.org/10.24963/ijcai.2017/178","mag":"2617136920"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/178","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/178","pdf_url":"https://www.ijcai.org/proceedings/2017/0178.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0178.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006732213","display_name":"Rodrigo Toro Icarte","orcid":"https://orcid.org/0000-0002-7734-099X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rodrigo Toro Icarte","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030967950","display_name":"Jorge A. Baier","orcid":"https://orcid.org/0000-0002-6280-5619"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Jorge A. Baier","raw_affiliation_strings":["Chilean Center for Semantic Web Research","Pontificia Universidad Cat\u00f3lica de Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chilean Center for Semantic Web Research","institution_ids":[]},{"raw_affiliation_string":"Pontificia Universidad Cat\u00f3lica de Chile","institution_ids":["https://openalex.org/I162148367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071665548","display_name":"Cristi\u00e1n Ruz","orcid":"https://orcid.org/0000-0003-3149-7796"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Cristian Ruz","raw_affiliation_strings":["Pontificia Universidad Cat\u00f3lica de Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Cat\u00f3lica de Chile","institution_ids":["https://openalex.org/I162148367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101620149","display_name":"\u00c1lvaro Soto","orcid":"https://orcid.org/0000-0001-9378-397X"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Alvaro Soto","raw_affiliation_strings":["Pontificia Universidad Cat\u00f3lica de Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Cat\u00f3lica de Chile","institution_ids":["https://openalex.org/I162148367"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5542,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.75578879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1283","last_page":"1289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9962999820709229,"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/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.9037491083145142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8537230491638184},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.682110071182251},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6724755764007568},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.6151483654975891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5429359078407288},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.50577712059021},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4608025550842285},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.44600242376327515},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.44407784938812256},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4397290349006653},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42865097522735596},{"id":"https://openalex.org/keywords/knowledge-retrieval","display_name":"Knowledge retrieval","score":0.4219176769256592},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4177578389644623},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.34430909156799316},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.19430658221244812},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15185269713401794}],"concepts":[{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.9037491083145142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8537230491638184},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.682110071182251},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6724755764007568},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.6151483654975891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5429359078407288},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.50577712059021},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4608025550842285},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.44600242376327515},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.44407784938812256},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4397290349006653},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42865097522735596},{"id":"https://openalex.org/C2780613888","wikidata":"https://www.wikidata.org/wiki/Q6423394","display_name":"Knowledge retrieval","level":3,"score":0.4219176769256592},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4177578389644623},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.34430909156799316},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.19430658221244812},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15185269713401794},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/178","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/178","pdf_url":"https://www.ijcai.org/proceedings/2017/0178.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/178","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/178","pdf_url":"https://www.ijcai.org/proceedings/2017/0178.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334812","display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","ror":"https://ror.org/02ap3w078"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2617136920.pdf","grobid_xml":"https://content.openalex.org/works/W2617136920.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W97534101","https://openalex.org/W1590510366","https://openalex.org/W1614298861","https://openalex.org/W1861492603","https://openalex.org/W1891689858","https://openalex.org/W1895577753","https://openalex.org/W1931639407","https://openalex.org/W1957706851","https://openalex.org/W1964763677","https://openalex.org/W1986209830","https://openalex.org/W2051188476","https://openalex.org/W2064851185","https://openalex.org/W2066876748","https://openalex.org/W2081613070","https://openalex.org/W2089494718","https://openalex.org/W2108598243","https://openalex.org/W2108665656","https://openalex.org/W2110811457","https://openalex.org/W2139882085","https://openalex.org/W2141282920","https://openalex.org/W2153944284","https://openalex.org/W2163605009","https://openalex.org/W2481240925"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W2196562041","https://openalex.org/W4385488510","https://openalex.org/W2073302931","https://openalex.org/W3206107299","https://openalex.org/W4313191056","https://openalex.org/W2776103894","https://openalex.org/W1868862982"],"abstract_inverted_index":{"The":[0],"knowledge":[1,14,54,98],"representation":[2],"community":[3],"has":[4],"built":[5],"general-purpose":[6,71,158],"ontologies":[7,160],"which":[8],"contain":[9],"large":[10,105],"amounts":[11],"of":[12,18,79,90,103,107,138,153],"commonsense":[13,159],"over":[15],"relevant":[16,145],"aspects":[17],"the":[19,77,88,136,139],"world,":[20],"including":[21],"useful":[22],"visual":[23,47,164,173],"information,":[24],"e.g.:":[25],"\"a":[26,34],"ball":[27],"is":[28,37,135,156],"used":[29],"by":[30],"a":[31,40,84,104,112,127,150],"football":[32],"player\",":[33],"tennis":[35,41],"player":[36],"located":[38],"at":[39],"court\".":[42],"Current":[43],"state-of-the-art":[44,80],"approaches":[45],"for":[46],"recognition":[48,59],"do":[49],"not":[50],"exploit":[51],"these":[52],"rule-based":[53],"sources.":[55],"Instead,":[56],"they":[57],"learn":[58],"models":[60],"directly":[61],"from":[62,99,111,147],"training":[63],"examples.":[64],"In":[65,116],"this":[66,154],"paper,":[67],"we":[68,86,119],"study":[69],"how":[70],"ontologies\u2014specifically,":[72],"MIT's":[73],"ConceptNet":[74,100,122],"ontology\u2014can":[75],"improve":[76,124,161],"performance":[78,125,134,162],"vision":[81],"systems.":[82],"As":[83],"testbed,":[85],"tackle":[87],"problem":[89],"sentence-based":[91],"image":[92],"retrieval.":[93],"Our":[94],"retrieval":[95],"approach":[96],"incorporates":[97],"on":[101,126,163],"top":[102],"pool":[106],"object":[108],"detectors":[109],"derived":[110],"deep":[113],"learning":[114],"technique.":[115],"our":[117,133],"experiments,":[118],"show":[120],"that":[121,157],"can":[123],"common":[128],"benchmark":[129],"dataset.":[130],"Key":[131],"to":[132,142,170],"use":[137],"ESPGAME":[140],"dataset":[141],"select":[143,171],"visually":[144],"relations":[146],"ConceptNet.":[148],"Consequently,":[149],"main":[151],"conclusion":[152],"work":[155],"reasoning":[165],"tasks":[166],"when":[167],"properly":[168],"filtered":[169],"meaningful":[172],"relations.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}