Keyword Search on XML Data: Opportunities and Challenges

Date: 
Thursday, November 6, 2008 - 4:27pm

UCSB COMPUTER SCIENCE DEPARTMENT PRESENTS:
MONDAY, NOVEMBER 10, 2008
3:30 – 4:30
Computer Science Conference Room, Harold Frank Hall Rm. 1132

HOST: JIANWEN SU

SPEAKER: YI CHEN
Assistant Professor; Department of Computer Science and Engineering,
Arizona State University

Title: Keyword Search on XML Data: Opportunities and Challenges

Abstract:

There are vast collections of data represented in XML format, including
data published from relational databases, data generated from natural
language processing on textual documents, etc. To make the data, whose
schema is unavailable, complex, or fast-evolving, to be easily
accessible to web users, who do not know XQuery, keyword search provides
simple and user-friendly means. However, due to the inherent ambiguity
of keywords, it is challenging to generate relevant search results. In
this talk, I will present a proposed axiomatic framework to reason about
keyword search strategies on XML data, which complements empirical
evaluation. Then I will discuss some of our solutions in this problem
space as well as the open challenges toward high search quality.

Bio:

Yi Chen is an assistant professor in the Department of Computer Science
and Engineering at Arizona State University. She received her Ph.D
degree in Computer Science from the University of Pennsylvania in 2005.
Her research interests include querying and searching structured and
semi-structured data, information integration, workflows, and social
network. For more information, please visit
http://www.public.asu.edu/~ychen127/