Web Science and Digital Libraries Research Group

The 2019 Artificial Intelligence for Data Discovery and Reuse conference , supported by the National Science Foundation , was held in Carnegie Mellon University , Pittsburg, PA, between May 13 and May 15, 2019. It is called a conference, but it is more like a workshop. There are only plenary meetings (and a small session of posters) and the presentations are not all about frontiers of research. Many of them are research reviews and the speakers are trying to connect them with "data reuse". The presenters are in various domains, from text mining to computer vision, from medical imaging to self-driving cars, etc. Another difference from regular CS conferences in that the accepted presenter list is made only based on the abstracts they submitted. The full papers are submitted later.  Because CiteSeerX collects a lot of data from the Web, our group does a lot of work on information extraction, classification, and reuses a lot of data for training AI models, Dr. Lee Giles re

The IEEE Big Data 2018 was held in the Westin Seattle Hotel between December 10 and December 13, 2018. There are more than 1100 people registered. The accepting rates vary between 13% to 24%, with an average rate of 19%. I have a poster accepted titled “CiteSeerX-2018: A Cleansed Multidisciplinary Scholarly Big Dataset”, co-authored with C. Lee Giles , two of his graduate students ( Bharath and Shaurya ), as well as an undergraduate student who produced preliminary results ( Jianyu Mao ). I attended the conference on Day 2 and Day 3 and left the conference hotel after the keynote on Day 3. Insights from Personal Meetings The most important thing to attend conferences is to meet with old friends and know new friends. Old friends I met include Kyle Williams (Microsoft Bing), Mu Qiao (IBM, chair of I&G track), Yang Song (Google AI, co-chair of I&G track), Manlin Li (Google Cloud), and Madian Khabsa (Apple Siri).  Kyle introduced the recent project on recomme