Seminar 01092006

Building a Better Search Engine

This presentation will outline several new techniques for building a better search engine. New
algorithms have been developed for automatically classifying and clustering Web pages to allow users
to quickly find information on the Web. A new text indexing scheme has been developed for speeding up
keyword search. And, a new parallel and distributed architecture has been developed to handle massive
search requests. Several techniques under development will also be outlined, including Web crawling
methods for finding and updating Web pages and page ranking methods for ordering search results. These
techniques have been implemented and tested on an object-oriented database, the experience of which
will also be shared. In addition, two patent applications have been filed based on some the new
techniques.

Speaker

Ben Choi, Ph.D. & Pilot: He is an Associate Professor in Computer Science at Louisiana Tech University
and is also a pilot of airplanes and helicopters. He worked in the computer industry as a System
Performance Engineer at Lucent Technologies and as a Computer Consultant. He got his Bachelor, Master,
and Ph.D. degrees all from The Ohio State University. His areas were Electrical Engineering, Computer
Engineering, and Computer Science. His works included associative memory, parallel computing, and
machine learning. His research interests are developing software and hardware methods for building
intelligent machines and abstracting the Universe as a Computer.

See also http://benchoi.info/Bens/DrBenChoi.htm