DBMSs with Native XML Support: Towards Faster, Richer, and Smarter Data Management

Speaker:	Dr. Min Wang
		IBM Thomas J. Watson Research Center

Title:		DBMSs with Native XML Support: Towards Faster,
		Richer, and Smarter Data Management

Date:		Monday, 26 June 2006

Time:		2:00pm - 3:00pm

Venue:		Chow Tak Sin Lecture Theater
		(Lecture Theater G, near lift nos. 25/26), HKUST

Abstract:

The semistructured and structured data models represent two seemingly
conflicting philosophies: one focuses on being flexible and
self-describing, and the other focuses on leveraging the rigid data schema
for a wide range of benefits in traditional data management. For many
applications such as e-commerce that depend heavily on semistructured
data, the relational model, with its rigid schema requirements, fails to
support them in an effective way; on the other hand, the flexibility of
XML in modeling semistructured data comes with a big cost in terms of
storage and query efficiency, which to a large extent has impeded the
deployment of pure XML databases to handle such data. In this
presentation, we will introduce IBM's new DB2 UDB with native XML support
and report our recent research on how to leverage this relational-XML
hybrid DBMS for  faster, richer, and smarter data management in various
applications.


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Biography:

Dr. Min Wang is a Research Staff Member at IBM Thomas J. Watson Research
Center in Hawthorne, New York, currently working as Technical Assistant to
Dr. Stuart Feldman, Vice President, Computer Science Research.

Dr. Wang received her Ph.D. degree in Computer Science from Duke
University in 1999 and the B.S. and M.S. degrees, both in Computer
Science, from Tsinghua University, Beijing, China. Her research interests
include database query optimization and approximate query processing.