INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-2001)
WORKSHOP PROGRAM
August 6, 2001 Seattle, Washington, USA.
8:30-9:00am
Introductions and Overview
Vasant Honavar
Artificial Intelligence Research Laboratory Iowa State University.
9:00-9:45am
Invited Talk: Information Scapes: A Paradigm for Knowledge Discovery in Semantic Web
Professor Amit Sheth
Large Scale Distributed Information Systems Laboratory, Department of Computer Science, University of Georgia
9:45-10:30am
Invited Talk: TBA
John Sowa
10:30am-11am
11:00-11:30am
11:30am-12noon
12:00noon-1:15pm
1:45-2:30pm
2:30pm-3:15pm
3:15pm-3:45pm
4:10pm-4:35pm
4:35pm-4:55pm
4:55pm-5:15pm
5:15pm-5:35pm
5:35pm-5:55pm
6:00pm-6:30pm
Please direct any corrections to this page to:
BREAK
Ontology-Driven Information Extraction and Knowledge Acquisition from Heterogeneous, Distributed, Autonomous Biological Data Sources
Adrian Silvescu, Doina Caragea, Carson Andorf, Jaime Reinoso-Castillo, Drena Dobbs, and Vasant Honavar
Artificial Intelligence Research Laboratory, Department of Computer Science, Iowa State University
EVE: An On-Orbit Data Mining Testbed
Steve Tanner, Ken Keiser, Helen Conover, Danny Hardin, Sara Graves, Kathryn Regner, Richard Wohlman, Rahul Ramachandran, Matt Smith
Information Technology and Systems Center, University of Alabama at Huntsville
Lunch
1:15pm-1:45pm Data Fusion for Weather Assessment
Michael Hadjimichael, Richard Bankert, Paul Tag, Arunas Kuciauskas, Kim Richardson, and William Thompson
Naval Research Laboratory, Monterey, CA
Invited Talk: Using Machine Learning to Create Robust Information Agents
Professor Steve Minton
Information Sciences Institute,
University of Southern California
Invited Talk: Integrating Multiple Information Sources in Text Classification
Professor Haym Hirsh
Rutgers Machine Learning Group,
Department of Computer Science, Rutgers University
BREAK
Collaborative Multi-Agent Learning for Classification Tasks
Pragnesh J. Modi and Wei-Min Shen
Information Sciences Institute,
University of Southern California
Discovering Association Rules in Semi-Structured Data Sets
M. Mones-y-Gomez, A. Gelbukh, and A. Lopez-Lopez
Centro de Investigacion en Computacion, Mexico.
Mathematics - A New Domain for Data Mining?
Simon Colton
Department of Artificial Intelligence, Division of Informatics, The University of Edinburgh, UK
Discovering Knowledge in Design and Manufacturing Repositories
William Regli, Erik Hayes, David McWherter, Michael Peabody, Cheryl Foster, Yuriy Shapirsteyn, and Lisa Anthony
Geometric and Intelligent Computing Laboratory, Drexel University, PA, USA.
Web Based Adaptive Personalization
Chiranjit Acharya, Wray Buntine, Sylvia Dieckmann, Jon Oliver, and George Roumeliotis
Dynaptics Corporation, San Jose, CA
A Learning Strategy for Economically Motivated Agents in Market Environments
Thomas Tran and Robin Cohen
Department of Computer Science, University of Waterloo, Canada
Panel: Open Research Problems in Knowledge Discovery From Heterogeneous, Dynamic, Distributed, Autonomous Data and Knowledge Sources
Dr. Vasant Honavar
Artificial Intelligence Research Laboratory
Department of Computer Science
Iowa State University
Atanasoff Hall, Ames, IA 50011-1040 USA
phone: +1-515-294-1098, +1-515-294-4377; fax: +1-515-294-0258