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复旦大学图书馆学术报告会通知

报告主题:Extracted Features: A Method to Create New Access Points to HathiTrust and Beyond

报告人: J. Stephen Downie教授    伊利诺伊大学香槟分校信息科学学院副院长

报告人简介:J. Stephen Downie is the Associate Dean for Research and a Professor at the School of Information Sciences at the University of Illinois at Urbana-Champaign. Dr. Downie is the Illinois Co-Director of the HathiTrust Research Center (HTRC). Downie is the leader of the Hathitrust + Bookworm (HT+BW) text analysis project that is creating tools to visualize the evolution of term usage over time. Professor Downie represents the HTRC on the NOVEL(TM) text mining project and the Single Interface for Music Score Searching and Analysis (SIMSSA) project, both funded by the SSHRC Partnership Grant programme. All of these aforementioned projects share a common thread of striving to provide large-scale analytic access to copyright-restricted cultural data. Dr. Downie has been very active in the establishment of the Music Information Retrieval (MIR) community through his ongoing work with the International Society for Music Information Retrieval (ISMIR) conferences. He was ISMIR's founding President and recently served on the ISMIR board. Several years ago, Professor Downie worked with Dunhuang Academy on the "Digital Dunhuang" project to help connect Digital Humanities scholars with the high-resolution digital materials capturing the Mogao Caves. Professor Downie holds a BA (Music Theory and Composition) along with a Master's and a PhD in Library and Information Science, all earned at the University of Western Ontario, London, Canada.

报告时间:2020年1月7日(周二) 上午9:30-11:00

报告地点:复旦大学理科图书馆西辅229室

主办单位:

复旦大学图书馆
复旦大学大数据研究院人文社科数据研究所
上海市图书馆学会数据服务专业委员会

 

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