Date and time: 11.30am-12.30pm, Friday 13th August, 2004
Venue: 10.11.04
Chair: James Harland
Abstract:
Central to information retrieval is relevance ranking. Least in our minds is asking a computer how to do it. Researchers have, for many years, have been devising and developing models of information retrieval, in this seminar an alternative will be discussed; that of using Artificial Intelligence to develop a solution, without an underpinning model.
Andrew, a Ph.D. student at the University of Otago (New Zealand), will present his ongoing research on this topic. He will also show that teaching a computer to do a Ph.D. can be more work then just doing it yourself.
About the speaker:
Andrew is currently studying for the degree of Ph.D. in Information Retrieval at the University of Otago, Dunedin, New Zealand. He currently holds the degree of M.Sc. in Computer Graphics, awarded in 1992 by the same university. In the intervening gap, he stumbled across Information Retrieval and realized its application for building large scale digital libraries. Using IR and DL he designed and built two such libraries: BioMedNet and ChemWeb. Fully realizing the beauty of IR, he switched to a research career which took him to the National Center for Biotechnology Information (NCBI), and most recently back to Otago.
Seminars are free and open to the general public. No booking is necessary.
If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact James Harland, the seminar co-ordinator.
James Harland Last modified: Tue Jun 1 11:34:52 EST 2004