報告人：何勇群 教授 密西根大學醫EON4

報告時間：2019年10月15日（星期二） 13:00-14:00

報告地點：徐匯校區哲生館一樓會議室

聯 系 人：歐竑宇

報告人簡介：

何勇群博士🍥💪🏼，密西根大學醫EON4終生教授，主要從事本體學👂🏿、生物信息學⛅️🪙、微生物學、反向疫苗學、藥物與疫苗副作用研究。主持開發多個生物醫學本體如疫苗本體🧑🏽‍💼🧔🏿‍♂️、不良反應本體🧙🏿😩、細胞系本體➗、宿主-病原體相互作用本體、和精準醫學及研究本體。開發了多個本體應用軟件（如Ontobee和Ontofox）。發表SCI論文100多篇。幫助成立OntoChina（本體中國）項目。主持過多項國際學術研討會。擔任Frontier in Cellular and Infection Microbiology副主編、Scientific Data 和Frontiers in Bioinformatics and Computational Biology等雜誌編委。

報告摘要：

Ontology is human- and machine-understandable representation of entities and the relations among entities in a specific domain. Since the publication of the Gene Ontology (GO) in 2000, ontology has emerged to play an important role in standard biomedical knowledge and data representation, integration, and computer-assisted data analysis. Now hundreds of ontologies have been developed to support biomedical research. Efforts are also taken to integrate these ontologies together to support ontology interoperability for more advanced data analysis. Artificial intelligence (AI) requires machine understanding, learning, and reasoning. Ontology is the basis of supporting advanced AI tasks such as natural language processing and deep learning in basic, clinical and translational biomedical fields.