Chengkai Li

报告题目：Enabling Data Retrieval: By Ranking and Beyond

报告人：Chengkai Li

报告时间：2007年5月30日下午2：30

报告地点：蒙民伟楼109室

摘要：
Database management systems (DBMSs) are facing challenges in support
ing non-traditional data retrieval for emerging applications. We need retrieva
l systems over data, much like a "Google" for databases, parallel the well-est
ablished information retrieval over text. Such systems should allow users to u
se flexible and intuitive queries capturing their information needs, and to ex
plore the databases effectively. In the talk, I will discuss this exciting res
earch area and introduce my work in this direction. In particular the talk foc
uses on RankSQL, a DBMS that provides a systematic and principled framework fo
r ranking by extending relational algebra. I will further mention our work on
ranking aggregate queries. Effective data retrieval mechanisms go beyond just
ranking. I will discuss our proposal of generalizing Group-By to clustering, p
arallel to the generalization from Order-By to ranking, and combining the two
constructs. Moreover, a brief introduction to our study of inverse ranking que
ries is provided.

报告者简介：
Chengkai Li is a Ph.D. candidate in the Department of Computer Sci
ence, University of Illinois at Urbana-Champaign. His general research interes
ts are in the field of databases, with current focus on data retrieval. He als
o works on Web information management and XML. Chengkai received a B.S. and a
M.E. in Computer Science from Nanjing University. He is expected to receive Ph
.D. degree from UIUC in October 2007. In Fall 2007, he will join the faculty o
f the University of Texas at Arlington, as an assistant professor in the Depar
tment of Computer Science and Engineering.URL: http://www.ews.uiuc.edu/~cli