DIMACS Working Group on Data Analysis and Digital Libraries

May 17, 2001
DIMACS Center, Rutgers University, Piscataway

Organizers:

Paul Kantor, Rutgers University, kantorp@cs.rutgers.edu

David Hull, WhizBang, dhull@whizbang.com

Michael Berry, University of Tennessee, berry@cs.utk.edu

Endre Boros, Rutgers University, boros@rutcor.rutgers.edu

Warren Greiff, Mitre Corporation, greiff@mitre.org

Liz Liddy, Syracuse University, liddy@mailbox.syr.edu

PROGRAM:

Thursday, May 17, 2001

8:30-9:00    Breakfast and Registration

9:00-9:05    Welcome and Greeting.
             Prof. Paul Kantor, Rutgers University

INVITED PAPERS:

9:05-9:25    Statistical Modeling For The Segmentation Of
               Archived News Broadcasts
             Dr. Warren Greiff, MITRE

9:25-9:45    Collections Of Documents And Questions.  
               A Unified Perspective.
             Prof. Paul Kantor, Rutgers University

9:45-10:25   Data-Mining, Meta-Data, And Digital Libraries
             Prof. Elizabeth Liddy, Syracuse University

10:25-11:00  Morning Break

11:00-11:30  Using User Data To Help Improve IR Functions
               In The Context Of Web Search
             Dr. Mark Hansen, Bell Labs

11:30-12:00  Monitoring And Triage Of Business News
             Prof. Foster Provost, New York University

12:00-1:30   Lunch Break

PANEL DISCUSSION:

1:30-2:30    Defining A Research Agenda
             Panelists:  Dr. Warren Greiff, Prof. Elizabeth Liddy
             Chair:  Prof. Paul Kantor

2:30-4:00    INVITED/CONTRIBUTED PAPERS:

             The afternoon break will be available continuously.

             Integrating Background Information In Text Classification
             Prof. Haym Hirsh, Rutgers University

             PIRCS - An Effective Document Detection Tool
             Prof. Kui Lam Kwok, Queens College

             Searching The Web And Other Highly Diverse Document
               Collections:  Some Practical And Theoretical Issues
             Dr. Andras Kornai, Northern Lights

4:00         Final Comments

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