Workshop on Strategic Research Directions in AI:
Knowledge Representation, Discovery, and Integration

June 26-27, 2003
Cornell University
Intelligent Information Systems Institute (IISI)
Ithaca, NY  USA

[Organizers]       [Workshop Summary]       [Workshop Report]       [Panel Presentations]       [Working Groups]

Organizers

Carla Gomes, Cornell University
Bart Selman, Cornell University
David D. Lewis, Ornarose, Inc. & David D. Lewis Consulting

Workshop Summary

The goal of the workshop was to provide direction for the research program in artificial intelligence (AI) of the Information Directorate of the Air Force Research Laboratory (IF/AFRL).  Attendees included researchers from a range of areas of AI (broadly construed), as well as representatives of AFRL, AFOSR, and other agencies with AI-related programs.

Panels of researchers made brief presentations on hot topics and major research challenges in their areas of interest, followed by group discussion.  The remainder of the workshop was devoted to discussions together and in working groups to summarize important research directions and put them in the context of Air Force needs.  A workshop report is under preparation.

The workshop was organized under the auspices of the Intelligent Information Systems Institute (IISI) at Cornell.  The IISI is an inter-disciplinary research institute focused on computational and data-intensive methods in AI, funded by AFRL/AFOSR.

Workshop Report

Final report.

Panel Presentations

Panels grouped topics roughly by the degree to which raw data has been processed into information, knowledge, and finally understanding and action.  Not surprisingly, many topics are relevant to more than one level of analysis.  We list scheduled presentations and titles below.  Many presentations had co-authors indicated in the slides.

Introduction
    Carla Gomes, Cornell University - Introduction
    Craig Anken, AFRL/IFTB - Information Understanding overview

Data & information Panel
    Panel Chair:  David D. Lewis, Ornarose, Inc. & David D. Lewis Consulting - Introduction:  Panel on
    Data and Information
    R. Manmatha, University of Massachusetts Amherst - "Semantic" Image Annotation and Retrieval
    Rohini Srihari, University at Buffalo - IR to UIR, Future Directions in Information Retrieval
    Claire Cardie, Cornell University - Research Directions in Statistical Natural Language Processing
    Rich Caruana, Cornell University - Machine Learning

Information & Knowledge Panel
    Panel Chair:  David Jensen, University of Massachusetts Amherst
    Peter Chen, Louisiana State University - Past, Present, Future of Data/Information Modeling
    Craig Knoblock, University of Southern California - Integration on the Web
    Johannes Gehrke, Cornell University - Three Research Challenges in Data Mining
    David Jensen, University of Massachusetts Amherst - Relational Learning & Link Analysis

Knowledge & Understanding Panel I
    Panel Chair:  Bart Selman, Cornell University
    Piero Bonissone, GE Global Research
    Michael Littman, Rutgers University - Representations for Decision Making Under Uncertainty
    Eric Jones, ALPHATECH, Inc. - Two Challenges for Knowledge and Understanding
    Darrin Taylor, 21st Century Technologies - Pattern Matching & Plan Generation:  Application
    of Distributed GA's
    Bart Selman, Cornell University

Knowledge & Understanding Panel II
    Panel Chair:  Marie desJardins, University of Maryland, Baltimore County - Introduction
    Alistair Campbell, Hamilton College - Ontologies:  Hot Topics and a Future Direction
    Jared Freeman, Aptima - Decision Support
    Marie desJardins, University of Maryland, Baltimore County - Strategic Directions in Multi-Agent
    Systems Research
    Ed Durfee, University of Michigan - Distributed AI and Agent Systems

Working Groups

Working groups produced draft summaries of research directions and challenges to be included in the workshop report.

Summaries
    Data & Information
    Information & Knowledge
    Knowledge & Understanding