Date: June 20 th, Tuesday, 2017
Start Time: 14:00
Venue: Room 720, Business School Building
Speaker: Liu Xiaozhong （Associate professor, Department of Information and Library Science, School of Informatics and Computing, Indiana University Bloomington）
Although the scientific digital library is growing at a rapid pace, scholars/students often find reading STEM literature daunting because of their limited knowledge in the target domain and the challenging content of the readings. In this research, I propose a new solution to address this problem: scientific information understanding. Using novel, personalized, and communitized search algorithms, a reader’s emerging information needs can be projected onto a complex heterogeneous graph (with complex graph schema), which hosts 32 types of relations, e.g., scientific topic and math/algorithm formula evolution information. The proposed complex graph navigation algorithm will optimize the personalized/communitized random walk performance in a collaborative framework for cyberreading while helping users access multi-modal Open Data Resources (ODR) for information understanding. The goal of this proposed project is to develop a theoretical, algorithmic, and systematic foundation for effective cyberlearning and cyberreading by means of open-access online resources, novel text/graph, and formula layout mining algorithms.