INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-2001)

WORKSHOP ON KNOWLEDGE DISCOVERY FROM DISTRIBUTED, HETEROGENEOUS, AUTONOMOUS, DYNAMIC DATA and KNOWLEDGE SOURCES

August 6, 2001 Seattle, Washington, USA.


DESCRIPTION   AUDIENCE    FORMAT   CALL FOR PAPAPERS

WORKSHOP PROGRAM   ORGANIZERS

DESCRIPTION

Recent advances in sensor, high throughput data acquisition, and digital information storage technologies, have made it possible to acquire and store large volumes of data in digital form. Advances in computers and communications, the Internet, and mobile computing have made it possible for scientists and decision makers, at least in principle, to access and utilize this data for data-driven knowledge acquisition and decision making in the respective domains. Examples of such domains include bioinformatics, monitoring and control of complex, dynamic, distributed systems (e.g., communication networks, power systems), among others. Despite the diversity of these domains, they share several common characteristics:

Translating the advances in data acquisition, storage, and communication technologies into fundamental gains in our ability to utilize the available data for effective problem solving and decision making in respective domains (e.g., data-driven knowledge discovery in biology, decision support systems using disparate geospatial data sources) presents challenges in several areas of artifiicial intelligence including machine learning, knowledge representation, and multi-agent systems. Development of effective solutions to this class of problems has to necessarily incorporate recent advances in machine learning, knowledge representation, databases, distributed computing, and related areas.

Against this background, the workshop seeks to bring together researchers in relevant areas of artificial intelligence and computer science to discuss and exchange recent fundamental as well as applied, theoretical as well as experimental research problems and results on a number of topics including:

AUDIENCE

The workshop is of interest to researchers and practitioners in a number of areas of artificial intelligence including machine learning and data mining, information extraction and information fusion, software agents and multi-agent systems as well as those working related problems in databases and distributed computing. Current research efforts in Knowledge Discovery from Heterogeneous, Distributed, Dynamic, Autonomous Data and Knowledge Sources would benefit from exchange and synergistic synthesis of insights, approaches, algorithms, and results from these disparate areas.

The workshop is open to all members of the AI community. However, the number of participants is strictly limited. Consequently, authors of accepted papers will be given priority in terms of attendance. All workshop participants must register for the IJCAI conference. The organizers will make a concerted effort to ensure a good mix of established researchers, graduate students and junior researchers, as well as industrial participants.

FORMAT

The workshop will consist of a small number of invited talks, presentation of contributed papers, and informal discussions. The invited talks will give overviews of the key topics (information extraction and fusion, distributed and incremental learning, architectures and systems, and selected applications. These talks will be interspersed with short presentations of selected contributed papers. The workshop schedule will allow ample time for informal discussion. The workshop organizers will identify a set of questions and discussion topics based on the goals of the workshop (as outlined above) and the contents of the invited and contributed papers.

ORGANIZERS

The workshop will be organized by Vasant Honavar, Lee Giles, Kyseok Shim, Kristina Lerman, and Yannis Labrou. Vasant Honavar will serve as the primary contact.

Dr. Vasant Honavar
Department of Computer Science
226 Atanasoff Hall
Iowa State University
Ames, IA 50011
honavar@cs.iastate.edu

Dr. Lee Giles
School of Information Sciences and Technology
Pennsylvania State University
504 Rider Building
120 South Burrowes St.
University Park, PA 16801-3857
Giles@ist.psu.edu

Dr. Kyuseok Shim
Computer Science Department
Korea Advanced Institute of Science and Technology
373-1 Kusong-dong, Yusong-gu
TAEJON 305-701, KOREA
shim@cs.kaist.ac.kr

Dr. Kristina Lerman
Information Sciences Institute
4676 Admiralty Way
Marina del Rey, CA 90292-6695
lerman@isi.edu

Dr. Yannis Labrou
Computer Science and Electrical Engineering Department
University of Maryland, Baltimore County
ECS Building, Room 210
1000 Hilltop Circle
Baltimore, MD 21250.
jklabrou@cs.umbc.edu


Please direct any corrections to this page to:
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