{"id":"https://openalex.org/W4412405311","doi":"https://doi.org/10.1109/cniot65435.2025.11070385","title":"UTCMKG: A Lightweight Universal Model for Constructing Traditional Chinese Medicine Case Knowledge Graphs","display_name":"UTCMKG: A Lightweight Universal Model for Constructing Traditional Chinese Medicine Case Knowledge Graphs","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W4412405311","doi":"https://doi.org/10.1109/cniot65435.2025.11070385"},"language":"en","primary_location":{"id":"doi:10.1109/cniot65435.2025.11070385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11070385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","raw_type":"proceedings-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/A5118979981","display_name":"Gu Tian-Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gu Tian-Yu","raw_affiliation_strings":["Shanghai University of Traditional Chinese Medicine,School of Acupuncture-Moxibustion and Tuina,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Traditional Chinese Medicine,School of Acupuncture-Moxibustion and Tuina,Shanghai,China","institution_ids":["https://openalex.org/I4210098460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101677309","display_name":"Hua-Yuan Yang","orcid":"https://orcid.org/0000-0002-5553-6705"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Hua-Yuan","raw_affiliation_strings":["Shanghai University of Traditional Chinese Medicine,School of Acupuncture-Moxibustion and Tuina,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Traditional Chinese Medicine,School of Acupuncture-Moxibustion and Tuina,Shanghai,China","institution_ids":["https://openalex.org/I4210098460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5118979981"],"corresponding_institution_ids":["https://openalex.org/I4210098460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18627254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.944599986076355,"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":0.7165209054946899},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6019743084907532},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34824439883232117},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3434985280036926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3294157385826111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165209054946899},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6019743084907532},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34824439883232117},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3434985280036926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3294157385826111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cniot65435.2025.11070385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11070385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"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":23,"referenced_works":["https://openalex.org/W2969726727","https://openalex.org/W2996428491","https://openalex.org/W3088981549","https://openalex.org/W4206381011","https://openalex.org/W4210706440","https://openalex.org/W4312044727","https://openalex.org/W4318833223","https://openalex.org/W4320517096","https://openalex.org/W4323029673","https://openalex.org/W4378904515","https://openalex.org/W4379599778","https://openalex.org/W4386566933","https://openalex.org/W4387304047","https://openalex.org/W4391709523","https://openalex.org/W4394571637","https://openalex.org/W4395678325","https://openalex.org/W4396827044","https://openalex.org/W4401622044","https://openalex.org/W4401889742","https://openalex.org/W4402024459","https://openalex.org/W4403654843","https://openalex.org/W6768021236","https://openalex.org/W6861748537"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"UTCMKG,":[3],"a":[4,73,85],"lightweight":[5],"universal":[6],"model":[7],"designed":[8],"to":[9,40,80],"automate":[10],"the":[11,51],"extraction":[12],"and":[13,44,61,92,103,135,148],"structuring":[14],"of":[15,53,87,90,94,140],"unstructured":[16],"Traditional":[17],"Chinese":[18],"Medicine":[19],"(TCM)":[20],"case":[21],"records":[22],"into":[23],"knowledge":[24],"graphs.":[25],"By":[26],"integrating":[27],"ALBERT":[28],"for":[29,34,46,129],"context-aware":[30],"semantic":[31],"encoding,":[32],"BiLSTM":[33],"sequential":[35],"feature":[36],"extraction,":[37],"self-attention":[38],"mechanisms":[39],"capture":[41],"long-range":[42],"dependencies,":[43],"CRF":[45],"structured":[47],"prediction,":[48],"UTCMKG":[49],"addresses":[50],"complexity":[52],"TCM":[54,130,141],"terminology":[55],"(e.g.,":[56,100,107,115],"syndrome":[57],"patterns,":[58],"herbal":[59],"prescriptions)":[60],"non-standardized":[62],"documentation.":[63],"Hyperparameter":[64],"optimization":[65],"(batch":[66],"size=128,":[67],"Adam":[68],"optimizer,":[69],"learning":[70],"rate=0.0001)":[71],"yielded":[72],"81.3%":[74],"reduction":[75],"in":[76,122],"training":[77],"time":[78],"compared":[79],"conventional":[81],"BERT-based":[82],"models,":[83],"achieving":[84],"precision":[86],"0.8472,":[88],"recall":[89],"0.8397,":[91],"F1-score":[93],"0.8434":[95],"across":[96],"nine":[97],"entity":[98],"types":[99,106],"symptoms,":[101],"treatments)":[102],"eight":[104],"relation":[105],"treatment-syndrome":[108],"associations).":[109],"Experimental":[110],"validation":[111],"against":[112],"baseline":[113],"models":[114],"Word2vec-BiLSTM-CRF,":[116],"Bert-BiLSTM-CRF)":[117],"confirmed":[118],"superior":[119],"performance,":[120],"particularly":[121],"recognizing":[123],"rare":[124],"or":[125],"context-sensitive":[126],"entities":[127],"critical":[128],"diagnosis.":[131],"The":[132],"model\u2019s":[133],"scalability":[134],"efficiency":[136],"enable":[137],"systematic":[138],"digitization":[139],"knowledge,":[142],"supporting":[143],"clinical":[144],"decision-making,":[145],"data":[146],"mining,":[147],"standardization":[149],"efforts.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}