SESQ - A Topic Specific Search Engine Using a Graph Data Model
Lizhu Zhou
Tsinghua University
SESQ is a topic-specific search engine designed for the Internet. Given a concept
schema consisting of objects and their relationships, SESQ can find relevant
data
of the schema from the Internet and support end users to query them. Major tasks of
SESQ are directed by scripts of GQML, a specific graph language for searching,
cleaning, transforming and querying data from the Internet. Illustrating examples
will
show how GQML works and the current status of SESQ.
About the speaker
Lizhu Zhou is a Professor of Department of Computer Science and Technology at
Tsinghua University, Beijing, China, the Chair of the Department Academic
Committee, and the Director of Tsinghua-IBM Innovation Institute. He received
his
Master of Science degree from University of Toronto in 1983. His major research
interests include database systems, digital resource management, Web data
processing, and information system design. Since 1980's, Professor Zhou has led
his group completed 20 R & D projects funded by the Natural Science Foundation
of
China, China's High-Tech Programs, and industry. He has published over 70
papers
in journals and conferences and served as a PC member, Program Co-Chair, or
General Chair for many international conferences.