Schedule
9:00 - 9:10 - Opening
9:10 - 9:50 - Introduction to Scholarly Big Data by C. Lee Giles
9:50 - 10:10 - Analyzing NIH Funding Patterns over Time with Statistical Text Analysis by Padhraic Smyth, Ralf Krestel, Meg Blume-Kohout, Eric Nalisnick and Jihyun Park
10:10 - 10:30 - Automatic Construction of Evaluation Sets and Evaluation of Document Similarity Models in Large Scholarly Retrieval Systems by Kriste Krstovski, David Smith and Michael Kurtz
10:30 - 11:00 - Coffee break
11:00 - 11:50 - - Invited talk: "Mining Topics and Key Phrases from Scientific Documents" by Douglas Downey
11:50 - 12:10 - From a 'Scholarly Big Dataset' to a Test Collection for Bibliographic Citation Recommendation by Dwaipayan Roy, Kunal Ray and Mandar Mitra
12:10 - 12:30 - Automatic Summary Generation for Scientific Data Charts by Rabah Alzaidy, Sagnik Ray Choudhury, and C. Lee Giles
12:30 - 2:00 - Lunch
2:00 - 2:50 - Invited talk: "Academic Knowledge: new research opportunities with the Microsoft Aca- demic Graph" by Alex Wade
2:50 - 3:10 - A Feasibility Study of an Approach to Extend Research Footprints Using Disparate Sources by Francisco Osuna, Bhanukiran Gurijala, Patricia Esparza, Monika Akbar and Ann Gates
3:10 - 3:30 - Enabling Public Access to Non-Open Biomedical Literature via Idea-Expression Dichotomy and Fact Extraction by Xiaocheng Huang and Pauline Ng
3:30 - 4:00 - Coffee break
4:00 - 4:20 - Modeling Topic-level Academic Influence in Scientific Literatures by Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song and Xinbing Wang
4:20 - 4:40 - Encoding Lineage in Scholarly Articles by Sheikh Motahar Naim, Md Abdul Kader, Arnold P. Boedihardjo and Mahmud Shahriar Hossain
4:40 - 5:00 - Automatically Augmenting Titles of Research Papers for Better Discovery by Madhavan Pallan and Biplav Srivastava
5:00 - 5:15 - Closing Remarks
The schedule of our 1st AAAI International Workshop on "Scholarly Big Data: AI Perspectives, Challenges, and Ideas" is available here.