Title: Discovering New Knowledge from the Internet Presenter: Jie Wang
Department of Computer Science, University of Massachusetts, Lowell
Time: 10:00AM, June 4, 2010
Location: Room 504, Meng Minwei Building Abstract: A large number of natural phenomena, whose laws of governance are
yet to be discovered, have in recent years been found to fit nicely with the
double Pareto lognormal (DPLN) distribution. These phenomena include, among
other things, the size of human settlements, the size of particles, the size
of oil fields, the size of world-wide-web files, and the spread and
extinguishment of forest wild fires. The DPLN distribution was derived from
studying the ups and downs of financial portfolios over a population of
investors in the stock market. In this talk we will first try to explain why
double Pareto lognormal would make sense for a number of natural phenomena. We
will then show that certain aspects of human knowledge obtained from the
Internet, for instance, the conceptual linkage in the biology network, also
fit nicely with double Pareto lognormal. We hope that this study will help us
obtain insights on the underlying knowledge structure for modeling knowledge
generations. Such understanding will in turn help us obtain insights on how
human acquire knowledge, which would finally lead us toward an automation of
knowledge discovery from the largest storage of knowledge forest that resides
in the Internet. This is joint work with Weibo Gong (UMass Amherst), Zheng Fang (UMass Lowell),
Benyuan Liu (UMass Lowell), and Xu Yuan (UMass Lowell). Brief Bio
Dr. Jie Wang is Professor and Chair of the Department of Computer Science at
the University of Massachusetts, Lowell, USA. He is also Director of the
Center for Network and Information Security in the university and co-Director
of Cyber Forensics Lab in the department. He received his PhD in Computer
Science from Boston University in 1991, Master of Engineering in Computer
Science from Zhongshan University in 1985, and Bachelor of Sciences in
Computational Mathematics from Zhongshan University in 1982. His research
interests include computational complexity theory, combinatorial optimization
algorithms, computational medicine, and network security. He has worked as a
security consultant in financial industry. His recent research focus is on
network dynamics, knowledge discovery, and wireless sensor networks. His
research has been funded by the NSF since 1991. IBM, Intel, Google and the
Natural Science Foundation of China have also funded his research. He has
published over 120 research papers in some of the most prestigious journals
and conference proceedings. He has authored and co-authored three books;
edited and co-edited four books. He is active in professional service,
including chairing conference program committees, serving as journal editors,
and organizing conferences and workshops. |
