{"title":"将临床医生与生物医学研究人员联系起来:ISF本体在石溪医学院的应用","authors":"J. Hajagos, Viviktesh Agwan","doi":"10.1109/CBMS.2014.111","DOIUrl":null,"url":null,"abstract":"From an administrative system, clinical experience was computed for 30 clinical faculty at Stony Brook Medicine. Experience was computed and represented in the ISF ontology using ICD9CM diagnosis codes that were mapped to MeSH. Using SPARQL, a semantic web technology for data querying, and data from a VIVO site, it was possible to connect to 257 different biomedical researchers based on published works.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"216 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Linking Clinicians to Biomedical Researchers: An Application of the ISF Ontology at Stony Brook Medicine\",\"authors\":\"J. Hajagos, Viviktesh Agwan\",\"doi\":\"10.1109/CBMS.2014.111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"From an administrative system, clinical experience was computed for 30 clinical faculty at Stony Brook Medicine. Experience was computed and represented in the ISF ontology using ICD9CM diagnosis codes that were mapped to MeSH. Using SPARQL, a semantic web technology for data querying, and data from a VIVO site, it was possible to connect to 257 different biomedical researchers based on published works.\",\"PeriodicalId\":398710,\"journal\":{\"name\":\"2014 IEEE 27th International Symposium on Computer-Based Medical Systems\",\"volume\":\"216 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 27th International Symposium on Computer-Based Medical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.2014.111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2014.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linking Clinicians to Biomedical Researchers: An Application of the ISF Ontology at Stony Brook Medicine
From an administrative system, clinical experience was computed for 30 clinical faculty at Stony Brook Medicine. Experience was computed and represented in the ISF ontology using ICD9CM diagnosis codes that were mapped to MeSH. Using SPARQL, a semantic web technology for data querying, and data from a VIVO site, it was possible to connect to 257 different biomedical researchers based on published works.
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