From kqml-owner@cs.umbc.edu Tue Dec 13 22:27:44 1994 Received: from algol.cs.umbc.edu (daemon@algol.cs.umbc.edu [130.85.100.2]) by lirmm.lirmm.fr (8.6.9/8.6.4) with ESMTP id WAA14895 for ; Tue, 13 Dec 1994 22:27:43 +0100 Received: (from daemon@localhost) by algol.cs.umbc.edu (8.6.9/8.6.9) id QAA26717 for kqml-outgoing; Tue, 13 Dec 1994 16:15:00 -0500 Date: Tue, 13 Dec 94 15:14:48 CST Message-Id: <9412132114.AA28664@cs.uchicago.edu> From: "AI Applications in Knowledge Navigation" Subject: "CFP: AAAI Symposium on AI Applications in Knowledge Navigation and Retrieval" Apparently-To: kqml@cs.umbc.edu Sender: owner-kqml@cs.umbc.edu Precedence: bulk Status: R ---------------------------------------------------------------- CALL FOR PAPERS ---------------------------------------------------------------- AI Applications in Knowledge Navigation and Retrieval AAAI Fall Symposium MIT, Nov. 10-12, 1995 Paper submission date: April 14, 1995 ---------------------------------------------------------------- The diversity and volume of accessible on-line data is increasing dramatically. As a result, existing tools for searching and browsing information are becoming less effective. The increasing use of non-text data such as images, audio and video has amplified this trend. Knowledge navigation systems are knowledge-based interfaces to information resources. They allow users to investigate the contents of complex and diverse sources of data in a natural manner. For example, intelligent browsers that can help direct a user through a large multi-dimensional information space, agents that users can direct to perform information finding tasks, or knowledge-based intermediaries that employ retrieval strategies to gather information relevant to a user's request. The purpose of this symposium is to examine the state of the art in knowledge navigation by examining existing applications and by discussing new techniques and research directions. We encourage two types of submissions: work-in-progress papers that point towards the future of this research area, and demonstrations of knowledge navigation systems. Some research issues of interest: Indexing: What indexing methods are appropriate and feasible for knowledge navigation systems? How can indices be extracted from data? Retrieval: What retrieval methods are appropriate for knowledge navigation? What retrieval strategies can be employed? Learning: How can knowledge navigation systems adapt to a changing knowledge environment and to user needs? User interfaces: What are the characteristics of a useful navigational interface? What roles can/should an "agent" metaphor play in such interfaces? How can a navigation system orient the user in the information space? Multi-source integration: How can multiple data and knowledge sources be integrated to address users' needs? Multimedia: What are the challenges presented by multimedia information sources? The symposium will consist of invited talks, presentations, and hands-on demonstration/discussion sessions. Interested participants should submit a short paper (5-8 pages max.) addressing a research issue in knowledge navigation or describing a knowledge navigation system that can be made available for hands-on demonstration at the symposium. System descriptions should clearly indicate the novel and interesting features of the system to be presented and its applicability to the central problems in knowledge navigation. Those wishing to demonstrate should also include a one-page description of their hardware and connectivity requirements. Via email, send either a URL pointing to a postscript version of the paper or the postscript copy itself to the address aiakn@cs.uchicago.edu. Or, send 5 hard copies to Robin Burke AI Applications in Knowledge Navigation University of Chicago, Department of Computer Science 1100 E. 58th St. Chicago, IL 60637. For further information, a web page for this symposium is located at "http://www-cs.uchicago.edu/~burke/aiakn.html" Organizing Committee: Robin Burke (chair), University of Chicago, burke@cs.uchicago.edu Catharine Baudin, NASA Ames Su-Shing Chen, National Science Foundation Kristian Hammond, University of Chicago Christopher Owens, Bolt, Beranek & Newman Program Committee: Ray Bariess, Institute for the Learning Sciences Alon Levy, AT&T Bell Laboratories Jim Mayfield, University of Maryland, Baltimore County Dick Osgood, Andersen Consulting ---------------------------------------------------------------- _______________________________________________________________________ Send mail to majordomo@cs.umbc.edu to subscribe/unsubscribe to the kqml mailing list. Send a message with the body "help" for more information. Archives are at http://www.cs.umbc.edu/kqml/mail/