Schedule
9:15 - 9:25 - Opening
9:25 - 10:00 - Introduction to Scholarly Big Data by C. Lee Giles
10:00 - 10:25 - Identifying Meaningful Citations by Marco Valenzuela, Vu Ha and Oren Etzioni
10:25 - 11:00 - Coffee break
11:00 - 11:25 - What Women Want: Analyzing Research Publications to Understand Gender Preferences in Computer Science by Rada Mihalcea and Charles Welch
11:25 - 12:15 - Invited talk: "Knowledge-powered Next Generation Scholarly Search and Recommendation Engines" by Yang Song
12:15 - 1:45 - Lunch
1:45 - 2:35 - Invited talk: "Semantic Scholar: Toward a Semantic Search and Discovery Service for Scientific Papers" by Vu Ha
2:35 - 3:00 - Leveraging Multiple Networks for Author Personalization by Rohit Parimi and Doina Caragea
3:00 - 3:25 - Looking Beyond Text: Extracting Figures, Tables and Captions from Computer Science Papers by Christopher Clark and Santosh Divvala
3:25 - 4:00 - Coffee break
4:00 - 4:25 - Cyc and the Big C: Reading that Produces and Uses Hypotheses about Complex Molecular Biology Mechanisms by Michael Witbrock, Karen Pittman, Jessica Moszkowicz, Andrew Beck, Dave Schneider and Doug Lenat
4:25 - 4:50 - Embedding AI and Crowdsourcing in the Enterprise Big Data Lake by Daniel Oleary
4:50 - 5:00 - Closing Remarks