重要公告
召开时间

2017322-25

会议地点

武汉大

承办单位

武汉大学信息管理学院

武汉大学信息资源研究中心

韩国成均馆大学图书情报科学和数据科学系

会议网站

http://ischools.org/the-iconference/


讲座:Scientific Information Understanding via Heterogeneous Scholarly Data
发布日期:2017-03-16  浏览次数:

  主讲人:刘晓钟副教授

  时间:3月20日上午9:00

  地点:信息管理学院 313

  主题:《Scientific Information Understanding via Heterogeneous Scholarly Data》

  摘要:STEM publications, for various reasons, generally do not place a premium on writing for readability, and young scholars/students struggle to understand the scholarly literature available to them. Unfortunately, few efforts have been made to help graduate students and other junior scholars understand and consume the essence, like topics and formulas, of those scientific readings. This talk is based on the hypothesis and pilot-evidence that accessing multi-modal Open Educational Resources (OER) about a scholarly publication, including presentation videos, slides, tutorial, algorithm source code, or Wikipedia pages, in a collaborative framework will significantly enhance a student’s ability to understand the paper itself. To achieve this goal, I propose a novel learning/reading environment, OER-based Collaborative PDF Reader (OCPR), that incorporates innovative text plus heterogeneous graph mining algorithms that can: 1) auto-characterize a student’s emerging information need while he/she reading a paper; 2) personalize or communitize students’ information needs based on the computational user profiles, and 3) enable students to readily access OERs based on their information need and implicit/explicit feedback. Based on the information need and various kinds of user feedback, the proposed algorithms will generate and select novel ranking features on the heterogeneous graph at a low cost for semi-supervised random walk and OER recommendation. Experiment shows that the proposed system can effectively help graduate students and scholars better understand the complex publications in both cold start and context-rich environments.

  主讲人介绍:

  刘晓钟,男,美国印第安纳大学伯明顿分校信息与计算学院副教授,雪城大学博士学位。担任ASIS&T、iConference等国际顶级会议论文评审专家,JASIS&T、IP&M、Journal of Informetrics、ACM Transactions on Information Systems、Journal of Library and Information Science等期刊同行评审专家,曾多次担任JCDL、CIKM、ECIR等国际会议主席团成员。研究领域包括信息检索、自然语言处理、文本挖掘\图挖掘、数字图书馆、引文推荐等,作为主要负责人参与由美国国家科学基金会、美国博物馆与图书馆服务协会等机构资助的科研项目10余项,在国际高水平学术期刊及顶级学术会议上发表论文80余篇,先后受邀至德克萨斯州大学奥斯汀分校、北卡罗来纳大学教堂山分校、浙江大学、中科院等著名学府和科研机构开展学术报告。


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