{"id":"https://openalex.org/W4416798004","doi":"https://doi.org/10.1109/tai.2025.3638321","title":"A Generative AI Application for Qualitative Automatic Population of Multimedia Knowledge Graphs","display_name":"A Generative AI Application for Qualitative Automatic Population of Multimedia Knowledge Graphs","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W4416798004","doi":"https://doi.org/10.1109/tai.2025.3638321"},"language":null,"primary_location":{"id":"doi:10.1109/tai.2025.3638321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3638321","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5093840909","display_name":"Domenico Benfenati","orcid":"https://orcid.org/0009-0008-5825-8043"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domenico Benfenati","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0009-0008-5825-8043","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052542784","display_name":"Antonio M. Rinaldi","orcid":"https://orcid.org/0000-0001-7003-4781"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Maria Rinaldi","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7003-4781","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035167174","display_name":"Cristiano Russo","orcid":"https://orcid.org/0000-0002-8732-1733"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cristiano Russo","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8732-1733","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035723769","display_name":"Cristian Tommasino","orcid":"https://orcid.org/0000-0001-9763-8745"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cristian Tommasino","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9763-8745","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology DIETI, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32176056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"6","first_page":"3314","last_page":"3323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5644000172615051,"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":0.5644000172615051,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.3481999933719635,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.008200000040233135,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5723999738693237},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5336999893188477},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5239999890327454},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4465000033378601},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42829999327659607},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42820000648498535},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4122999906539917},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3686999976634979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8352000117301941},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5723999738693237},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5239999890327454},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5236999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44679999351501465},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42829999327659607},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39579999446868896},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31119999289512634},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2025.3638321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3638321","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,14,74],"the":[3,40,43,59,90,165],"field":[4],"of":[5,42,63,93],"artificial":[6],"intelligence":[7],"have":[8],"created":[9],"new":[10],"opportunities":[11],"for":[12,89,103,110,135],"innovation":[13],"multimedia":[15,50],"technologies.":[16],"In":[17],"particular,":[18],"Knowledge":[19,53,96,148,168],"Graphs":[20,54],"(KGs),":[21],"tools":[22],"designed":[23],"to":[24,39,49],"manage":[25,46],"knowledge":[26],"efficiently":[27],"and":[28,61,77,129,184],"organise":[29],"data":[30],"by":[31,159],"emphasizing":[32],"relationships":[33],"among":[34],"entities,":[35],"require":[36],"high":[37],"attention":[38],"quality":[41,70,118,199],"information":[44],"they":[45],"when":[47],"applied":[48],"domains.":[51],"Multimedia":[52,95,147,167],"pose":[55],"additional":[56],"challenges,":[57],"as":[58],"curation":[60],"population":[62,92],"these":[64],"structures":[65],"often":[66],"rely":[67],"on":[68,164],"manual":[69,195],"assessment":[71],"procedures,":[72],"resulting":[73],"increased":[75],"time":[76,128],"resource":[78],"demands.":[79],"<p":[80],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[81],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">In":[82],"this":[83],"paper,":[84],"we":[85,144],"propose":[86],"an":[87,107],"approach":[88,189],"automatic":[91],"a":[94,117,146,191],"Graph,":[97],"which":[98],"employs":[99],"generative":[100],"AI":[101],"techniques":[102],"image":[104,112],"synthesis,":[105],"introducing":[106],"evaluation":[108,122,178],"strategy":[109,115],"assessing":[111],"quality.":[113],"Our":[114,188],"computes":[116],"index":[119],"from":[120,150],"established":[121],"metrics,":[123],"substantially":[124],"reducing":[125],"routine":[126],"checking":[127],"bias":[130],"while":[131,197],"preserving":[132],"expert":[133,174],"judgment":[134],"unclear":[136],"or":[137],"safety-critical":[138],"cases.":[139],"Utilising":[140],"our":[141],"proposed":[142],"methodology,":[143],"constructed":[145],"Graph":[149],"its":[151,157],"textual":[152],"counterpart.":[153],"We":[154],"then":[155],"evaluated":[156],"effectiveness":[158],"training":[160,182],"neural":[161],"network":[162],"models":[163],"synthetic":[166],"Graph.":[169],"Quality":[170],"index-based":[171],"rankings":[172],"track":[173],"judgments,":[175],"achieve":[176],"faster":[177],"times,":[179],"match":[180],"original":[181],"performance,":[183],"indicate":[185],"scalable":[186],"generalization.":[187],"provides":[190],"reproducible":[192],"alternative,":[193],"minimizing":[194],"procedures":[196],"maintaining":[198],"standards.":[200]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-11-28T00:00:00"}
