17th Annual International Florida Artificial Intelligence Research Symposium
Special Track on Knowledge Management
DESCRIPTION
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Knowledge management (KM) is an increasingly important new business movement that promotes the discovery, capture, sharing and application of knowledge within an organization to maximize business results. Supporters of the knowledge management movement say "effective knowledge management pays off in fewer mistakes, less redundancy, quicker problem solving, better decision making, reduced research development costs, increased worker independence, enhanced customer relations, and improved services." Since knowledge management mechanisms and technologies provide access to the corporate memory, it is easy to learn from previous experiences. "Learning" companies benefit by not repeating costly mistakes, and by reducing time-to-market in research & development projects. The context of knowledge management is to capture and re-use the investments in research and development as a vital part of a project. Eliciting and harvesting knowledge changes a normal organization into a "learning" organization capable of quickly and efficiently finding solutions to new problems, as well as, reusing and adapting previous solutions.
The real question now becomes, how can a company better elicit and reuse its knowledge? There are various tools and practices to increase the organization's learning ability. It is up to the organization to adopt the right methodologies and software tools that best address their demands for storage and reusability of past project experiences. Knowledge repositories are created with the sole purpose of storing explicit knowledge of organizational information. This includes storing explicit decisions as well as the reasons why decisions were made. Access to explicit knowledge should be intuitive and organized. Intranet and GroupWare tools are implemented to gather knowledge as teams create it in project collaborations, and to help them work together in an organized and coordinated fashion. There are many different types of tools aiming to provide solutions to different challenges of the KM context environment. It is equally important to identify how an organization improves the knowledge sharing culture among their employees.
This track focuses on the effective design and development of state-of-the-art KM systems. This track includes research in related topics including cultural implications in creating a "knowledge sharing" environment versus one of "knowledge-is-power". Topics of interest include all aspects of relevant to KM, including related AI applications based on traditional AI methods and techniques such as data mining, knowledge engineering, cognitive issues, validation of knowledge repositories, etc. |
The goal of this track is to continue a long-term effort in:
• integrating works that address important issues and current unsolved problems with regard to research in KM,
• publicizing the contribution of AI in KM by maintaining contacts and advertising sharable resources (mailing list, archives, Web site, etc.)
• determining what is common in all Knowledge Management domains so that the KM community can further this work
AUTHORS ARE INVITED TO SUBMIT
A paper addressing topics such as those listed above.
SUBMISSION REQUIREMENTS
Length: 5 pages (3400 words)
The review is blind. Author names and affiliations are to appear ONLY on a separate cover page. Please indicate on that cover page the primary author, the presenter (if different) and all appropriate contact information (email, phone, fax, etc).
MEDIUM
a. Electronic submission:
• Email your submission to becferi@fiu.edu
• Every effort will be made to accommodate MS Word or PDF.
b. Hard copy submission:
• 12 pt font, 10 double spaced pages, 1" borders
SEND 4 COPIES OF THE PAPER TO
Dr. Irma Becerra-Fernandez
Florida International University
Decision Sciences and Information Systems, RB 250
Miami, FL 33199
IMPORTANT DATES
Deadlines for FLAIRS
• Paper submissions due: Friday October 24, 2003
• Notification letters sent: Wednesday, January 7, 2004
• Camera-ready copy due: Friday, February 6, 2004
TRACK PROGRAM COMMITTEE
Chair
Dr. Irma Becerra-Fernandez
Florida International University
Decision Sciences and Information Systems, BA 256A
Miami, FL 33199
(305) 348-3476
Members
Dr. Alberto J. Canas
Institute for Human and Machine Cognition
University of West Florida
Pensacola, FL
Dr. Michael Freeman
NASA-Ames Research Laboratory
Moffet Field, California
Dr. Avelino Gonzalez
University of Central Florida
Orlando, FL
Dr. Ian Watson
Auckland University
New Zealand
Dr.
Rosina Weber
Assistant professor
College of Information Science and Technology
Drexel University
3141 Chestnut Street
Philadelphia, PA 19104
INVITED SPEAKERS TO THE FLAIRS GENERAL CONFERENCE
| Click on the link for more information on the Florida Artificial Intelligence Research Symposium 2004 - FLAIRS 2004 |
| Or visit the Florida Artificial Intelligence Research Symposium Website - www.FLAIRS.com |