{"id":"https://openalex.org/W3163103052","doi":"https://doi.org/10.1109/access.2021.3080180","title":"Associative Knowledge Graph Using Fuzzy Clustering and Min-Max Normalization in Video Contents","display_name":"Associative Knowledge Graph Using Fuzzy Clustering and Min-Max Normalization in Video Contents","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3163103052","doi":"https://doi.org/10.1109/access.2021.3080180","mag":"3163103052"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3080180","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080180","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09430567.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/9312710/09430567.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101876084","display_name":"Hyunbin Kim","orcid":"https://orcid.org/0000-0002-6390-0765"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Jin Kim","raw_affiliation_strings":["Sungkyunkwan University, Suwon-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6390-0765","affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon-si, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039378204","display_name":"Ji-Won Baek","orcid":"https://orcid.org/0000-0001-9332-2815"},"institutions":[{"id":"https://openalex.org/I28615091","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46","country_code":"KR","type":"education","lineage":["https://openalex.org/I28615091"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Won Baek","raw_affiliation_strings":["Kyonggi University, Suwon-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9332-2815","affiliations":[{"raw_affiliation_string":"Kyonggi University, Suwon-si, South Korea","institution_ids":["https://openalex.org/I28615091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089226921","display_name":"Kyungyong Chung","orcid":"https://orcid.org/0000-0002-6439-9992"},"institutions":[{"id":"https://openalex.org/I28615091","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46","country_code":"KR","type":"education","lineage":["https://openalex.org/I28615091"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungyong Chung","raw_affiliation_strings":["Division of AI Computer Science and Engineering, Kyonggi University, Suwon-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6439-9992","affiliations":[{"raw_affiliation_string":"Division of AI Computer Science and Engineering, Kyonggi University, Suwon-si, South Korea","institution_ids":["https://openalex.org/I28615091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.015,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92827376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"74802","last_page":"74816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9950000047683716,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9950000047683716,"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":0.9947999715805054,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.766204833984375},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6009865403175354},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5871214866638184},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5725423693656921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48290014266967773},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46131157875061035},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44471997022628784},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.43562787771224976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.357617050409317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3431817889213562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3355979025363922},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32507094740867615},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13159486651420593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12240484356880188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766204833984375},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6009865403175354},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5871214866638184},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5725423693656921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48290014266967773},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46131157875061035},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44471997022628784},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.43562787771224976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.357617050409317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3431817889213562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3355979025363922},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32507094740867615},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13159486651420593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12240484356880188},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3080180","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080180","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09430567.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d5a23e12f29e424ba5748fc479435894","is_oa":true,"landing_page_url":"https://doaj.org/article/d5a23e12f29e424ba5748fc479435894","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 9, Pp 74802-74816 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3080180","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080180","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09430567.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6224535776","display_name":null,"funder_award_id":"21CTAP-C157011-02","funder_id":"https://openalex.org/F4320322010","funder_display_name":"Ministry of Land, Infrastructure and Transport"},{"id":"https://openalex.org/G6386561828","display_name":null,"funder_award_id":"21CTAP-C157011-02","funder_id":"https://openalex.org/F4320324625","funder_display_name":"Korea Agency for Infrastructure Technology Advancement"}],"funders":[{"id":"https://openalex.org/F4320322010","display_name":"Ministry of Land, Infrastructure and Transport","ror":"https://ror.org/04xt5aa77"},{"id":"https://openalex.org/F4320324625","display_name":"Korea Agency for Infrastructure Technology Advancement","ror":"https://ror.org/00rxf7n07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3163103052.pdf","grobid_xml":"https://content.openalex.org/works/W3163103052.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2525153050","https://openalex.org/W2570343428","https://openalex.org/W2570623848","https://openalex.org/W2771404974","https://openalex.org/W2785177491","https://openalex.org/W2802772536","https://openalex.org/W2806914685","https://openalex.org/W2811460041","https://openalex.org/W2899965868","https://openalex.org/W2905523020","https://openalex.org/W2912664727","https://openalex.org/W2945020349","https://openalex.org/W2946616172","https://openalex.org/W2963381188","https://openalex.org/W2963399222","https://openalex.org/W2965898445","https://openalex.org/W2997891905","https://openalex.org/W2999893750","https://openalex.org/W3009680904","https://openalex.org/W3010357916","https://openalex.org/W3013403470","https://openalex.org/W3013467123","https://openalex.org/W3016099490","https://openalex.org/W3016751150","https://openalex.org/W3016950572","https://openalex.org/W3021001507","https://openalex.org/W3039700021","https://openalex.org/W3049554854","https://openalex.org/W3055985816","https://openalex.org/W3081786538","https://openalex.org/W3083242390","https://openalex.org/W3088936717","https://openalex.org/W3129581972","https://openalex.org/W4297779039","https://openalex.org/W6751325469","https://openalex.org/W6755310813","https://openalex.org/W6782490959"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2953716828","https://openalex.org/W2415164632","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2591697403","https://openalex.org/W4321441197","https://openalex.org/W1533029210"],"abstract_inverted_index":{"Video":[0],"content":[1,16,33,83,97,132,153,218],"data":[2,17,34,84,98,136,219],"have":[3],"a":[4,87,183,191,237],"variety":[5],"of":[6,67,70,125,129,175,213,244,247],"objects":[7,20,69,104,165,168,196],"that":[8,185],"could":[9],"be":[10],"associated":[11],"with":[12],"each":[13,106,130,186],"other.":[14],"Although":[15],"contains":[18],"similar":[19],"or":[21],"themes,":[22],"their":[23,41],"associations":[24,30,80,214],"can":[25],"become":[26],"ambiguous.":[27],"Accordingly,":[28],"if":[29],"between":[31,81,194,215],"video":[32,62,71,82,96,108,131,152,170,217],"are":[35,45,101,109,197,220],"found":[36],"in":[37,61,105,123,154,169,190,230,242],"general":[38],"association":[39,201,226,239],"rules,":[40,249],"accuracy":[42,210],"and":[43,58,78,85,103,133,166,199,211,251],"confidence":[44,212],"low.":[46],"Therefore,":[47],"this":[48,142,207],"study":[49],"proposes":[50],"the":[51,65,68,73,91,94,117,126,150,155,173,209,225,231,245],"associative":[52],"knowledge":[53,88,202,227],"graph":[54,203,228],"using":[55,182],"fuzzy":[56,180],"clustering":[57,181],"min-max":[59],"normalization":[60,120],"contents.":[63],"With":[64],"use":[66],"content,":[72],"proposed":[74,232],"method":[75,233,241],"finds":[76],"clear":[77],"accurate":[79],"generates":[86],"graph.":[89],"In":[90,116,141,206],"first":[92],"step,":[93,119],"streaming":[95],"massively":[99],"generated":[100,229,248],"collected,":[102],"image":[107],"classified":[110],"by":[111],"an":[112,200],"object":[113,139,187],"detection":[114],"algorithm.":[115],"second":[118],"is":[121,145,160,177,188,204],"executed":[122],"consideration":[124],"different":[127,216],"length":[128],"generate":[134],"transaction":[135],"based":[137],"on":[138],"frequency.":[140],"way,":[143,208],"it":[144,159],"possible":[146,161],"to":[147,162],"consider":[148],"all":[149],"collected":[151],"same":[156],"condition.":[157],"Additionally,":[158],"find":[163],"unnecessary":[164],"significant":[167],"content.":[171],"Lastly,":[172],"degree":[174],"ambiguity":[176],"analyzed":[178],"through":[179],"probability":[184],"involved":[189],"group.":[192],"Associations":[193],"fuzzy-clustered":[195],"extracted":[198],"created.":[205],"improved.":[221],"As":[222],"for":[223],"performance,":[224],"was":[234],"better":[235],"than":[236],"conventional":[238],"rule":[240],"terms":[243],"count":[246],"support,":[250],"confidence.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
