{"id":"https://openalex.org/W4392449754","doi":"https://doi.org/10.1109/tmm.2024.3373249","title":"PGD-GP: A Chinese Named Entity Recognition Model for Constructing Food Safety Standard Knowledge Graph","display_name":"PGD-GP: A Chinese Named Entity Recognition Model for Constructing Food Safety Standard Knowledge Graph","publication_year":2024,"publication_date":"2024-03-05","ids":{"openalex":"https://openalex.org/W4392449754","doi":"https://doi.org/10.1109/tmm.2024.3373249"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3373249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3373249","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5100613649","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0002-4141-0554"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4141-0554","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057734977","display_name":"Qiuxu Fan","orcid":"https://orcid.org/0009-0001-5663-5086"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuxu Fan","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-5663-5086","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113316013","display_name":"Xianpeng Yuan","orcid":"https://orcid.org/0009-0007-2049-5919"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianpeng Yuan","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-2049-5919","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724379","display_name":"Qinghui Zhang","orcid":"https://orcid.org/0000-0002-2580-6241"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghui Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2580-6241","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102817883","display_name":"Yu Dong","orcid":"https://orcid.org/0000-0002-2353-6567"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yu Dong","raw_affiliation_strings":["University of Technology Sydney, Sydney, NSW, Australia","University of Technology Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2353-6567","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100613649"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":5.0736,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95716417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"27","issue":null,"first_page":"2836","last_page":"2847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9613999724388123,"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/T10028","display_name":"Topic Modeling","score":0.9613999724388123,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9430000185966492,"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/computer-science","display_name":"Computer science","score":0.8403757810592651},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6084874868392944},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46516159176826477},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40739303827285767},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4041098654270172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3815303146839142},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.271565318107605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8403757810592651},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6084874868392944},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46516159176826477},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40739303827285767},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4041098654270172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3815303146839142},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.271565318107605}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3373249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3373249","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G5778169039","display_name":null,"funder_award_id":"U23B2009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8820963232","display_name":null,"funder_award_id":"61972010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W2008056655","https://openalex.org/W2115351859","https://openalex.org/W2141869602","https://openalex.org/W2735585131","https://openalex.org/W2747941871","https://openalex.org/W2805249925","https://openalex.org/W2962904552","https://openalex.org/W2965690110","https://openalex.org/W2995924296","https://openalex.org/W2998386822","https://openalex.org/W3003265726","https://openalex.org/W3011594683","https://openalex.org/W3034303554","https://openalex.org/W3034379414","https://openalex.org/W3034617555","https://openalex.org/W3136665819","https://openalex.org/W3147254695","https://openalex.org/W3167136668","https://openalex.org/W3174396451","https://openalex.org/W3176023514","https://openalex.org/W3183226462","https://openalex.org/W3186783455","https://openalex.org/W4210304322","https://openalex.org/W4213121060","https://openalex.org/W4280630420","https://openalex.org/W4283123191","https://openalex.org/W4309007603","https://openalex.org/W4311153802","https://openalex.org/W4321791226","https://openalex.org/W4365801669","https://openalex.org/W4377288817","https://openalex.org/W4386577353","https://openalex.org/W4386625540","https://openalex.org/W4388979610","https://openalex.org/W6682082992","https://openalex.org/W6739868092","https://openalex.org/W6769607603","https://openalex.org/W6843814252"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W3136979370","https://openalex.org/W3204019825","https://openalex.org/W2054026175"],"abstract_inverted_index":{"The":[0,114,149],"extensive":[1],"range":[2],"of":[3,66,75,170,177,237,243],"food":[4,38,87,204,259,283],"safety":[5,39,88,205,260,284],"standards":[6,40],"poses":[7],"a":[8,33,50,93,198,253,258],"significant":[9],"challenge":[10],"to":[11,22,41,57,132,136,147,155,280],"efficiently":[12],"accessing":[13],"specific":[14],"information":[15],"within":[16],"this":[17,54],"domain,":[18],"necessitating":[19],"innovative":[20],"solutions":[21],"streamline":[23],"the":[24,62,67,72,118,123,127,142,175,185,192,211,217,233,241,246],"process.":[25],"In":[26],"response,":[27],"researchers":[28,279],"are":[29],"focusing":[30],"on":[31,37,61,104,210],"constructing":[32],"knowledge":[34,68,262],"graph":[35,263],"based":[36,103],"facilitate":[42],"efficient":[43],"associative":[44],"querying.":[45],"Named":[46],"entity":[47,79,83,97,171],"recognition":[48,98,169],"is":[49,102,182],"pivotal":[51],"element":[52],"in":[53,86,229],"endeavor":[55],"due":[56],"its":[58],"critical":[59],"impact":[60],"accuracy":[63],"and":[64,81,111,145,159,190,216,235,245,274],"quality":[65],"graph.":[69],"To":[70,173],"address":[71],"nuanced":[73],"challenges":[74],"accurately":[76,156],"identifying":[77],"nested":[78],"boundaries":[80],"rectifying":[82],"class":[84,178],"imbalances":[85],"standards,":[89],"we":[90,251],"present":[91],"PGD-GP,":[92],"novel":[94],"Chinese":[95,119],"named":[96],"model.":[99],"This":[100,267],"model":[101,115,121],"Projected":[105],"Gradient":[106],"Descent":[107],"for":[108,203],"adversarial":[109,128],"training":[110,129],"Global":[112,153],"Pointer.":[113],"innovatively":[116],"refines":[117],"Bert":[120],"at":[122],"encoding":[124],"layer,":[125],"employing":[126],"method":[130],"PGD":[131],"iteratively":[133],"introduce":[134],"perturbations":[135],"character":[137],"vectors,":[138],"thereby":[139,231],"significantly":[140],"enhancing":[141],"model's":[143],"robustness":[144,236],"adaptability":[146],"texts.":[148],"decoding":[150],"layer":[151],"leverages":[152],"Pointer":[154],"determine":[157],"dependencies":[158],"relative":[160],"positional":[161],"relationships":[162],"between":[163],"characters,":[164],"thus":[165],"facilitating":[166],"more":[167],"precise":[168],"boundaries.":[172],"combat":[174],"issue":[176],"imbalance,":[179],"Circle":[180],"Loss":[181],"utilized":[183],"as":[184,270],"loss":[186],"function.":[187],"We":[188],"developed":[189],"annotated":[191],"Food":[193,212,247],"Safety":[194,213,248],"Standard":[195,214,249],"Dataset":[196,215],"using":[197],"specifically":[199],"tailored":[200],"ontology":[201],"rule":[202],"standards.":[206],"Comparative":[207],"experiments":[208],"conducted":[209],"public":[218],"Resume":[219],"dataset":[220],"demonstrate":[221],"that":[222,256],"PGD-GP":[223,244],"surpasses":[224],"six":[225],"mainstream":[226],"baseline":[227],"models":[228],"performance,":[230],"validating":[232],"effectiveness":[234],"PGD-GP.":[238],"Building":[239],"upon":[240],"foundation":[242],"Dataset,":[250],"implemented":[252],"prototype":[254],"system":[255,268],"integrates":[257],"standard-based":[261],"with":[264],"associated":[265],"queries.":[266],"serves":[269],"an":[271],"efficient,":[272],"accurate,":[273],"comprehensive":[275],"intelligent":[276],"assistant,":[277],"enabling":[278],"effectively":[281],"acquire":[282],"standard":[285],"information.":[286]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
