Keynote 1：
Knowledge will Propel Machine Understanding of Big Data
Amit Sheth (Kno.e.sis, Wright State University)
http://knoesis.wright.edu/amit/
Amit Sheth is an educator, researcher, and entrepreneur. He is the LexisNexis Ohio Eminent Scholar, an IEEE Fellow, and the executive director of Kno.e.sis—the Ohio Center of Excellence in Knowledge-enabled Computing. Kno.e.sis is a multidisciplinary Ohio Center of Excellence in BioHealth Innovation. Its faculty and researchers are computer scientists, cognitive scientists, biomedical researchers, and clinicians. It has the largest US academic research group in the area of Semantic Web and maintains a very high publication impact. In recent years, Kno.e.sis’ research impact has been responsible for Wright State University placing 2nd in World Wide Web (WWW) research with world-class universities for 5-year impact (http://j.mp/www-Mar13) and earning a spot among the top 10 universities in the world based on its 10-year impact (http://j.mp/www-org-Jun15).
Keynote 2：Hans Uszkoreit（German Research Center for Artificial Intelligence）
Hans Uszkoreit is Scientific Director and site coordinator of DFKI Berlin. He is head of the Language Technology Division at DFKI. His lab has performed research in information extraction, crosslingual IR, question answering, parsing, machine translation and deep linguistic processing. Uszkoreit’s research is documented in more than 200 international publications.
Keynote 3：Knowledge in Deep Learning Dialogue Model
Jun Zhao（Institute of Automation, Chinese Academy of Sciences）
http://www.nlpr.ia.ac.cn/cip/jzhao.htm
Keynote 4：Chin-Yew Lin（Microsoft Research Asia）
https://www.microsoft.com/en-us/research/people/cyl/
Chin-Yew Lin is a research manager of the Knowledge Computing group at Microsoft Research Asia. His research interests are knowledge computing, natural language processing, semantic search, text generation, question answering, and automatic summarization.Chin-Yew Lin developed automatic evaluation technologies for summarization, QA, and MT. In particular, he created the ROUGE automatic summarization evaluation package. It has become the de facto standard in summarization evaluations. ROUGE has been chosen as the official automatic evaluation package for Document Understanding Conference since 2004.