[mod.ai] Seminar - CODER Information Retrieval

.fox@vtcs1 (05/27/86)

         [Forwarded from IRList Digest V2#26 by Laws@SRI-AI.]


The M.S. defense of Robert K. France will be held at 10am Monday June 2 in 
Norris 301. The title of his thesis is "An Artificial Intelligence Environment 
for Information Retrieval Research."

The CODER (COmposite Document Expert/extended/effective Retrieval)
project is a multi-year effort to investigate how best to apply
artificial intelligence methods to increase the effectiveness of
information retrieval systems.  Particular attention is being given to
analysis and representation of heterogeneous documents, such as
electronic mail digests or messages, which vary widely in style,
length, topic, and structure. In order to ensure system adaptability
and to allow reconfiguration for controlled experimentation, the
project has been designed as a moderated expert system.  This thesis
covers the design problems involved in providing a unified
architecture and knowledge representation scheme for such a system,
and the solutions chosen for CODER.  An overall object-oriented
environment is constructed using a set of message-passing primitives
based on a modified Prolog call paradigm.  Within this environment is
embedded the skeleton of a flexible expert system, where task
decomposition is performed in a knowledge-oriented fashion and where
subtask managers are implemented as members of a community of experts.
A three-level knowledge representation formalism of elementary data
types, frames, and relations is provided, and can be used to construct
knowledge structures such as terms, meaning structures, and document
interpretations.  The use of individually tailored specialist experts
coupled with standardized blackboard modules for communication and
control and external knowledge bases for maintenance of factual world
knowledge allows for rapid prototyping, incremental development, and
flexibility under change.  The system as a whole is structured as a
set of communicating modules, defined functionally and imple- mented
under UNIX using sockets and the TCP/IP protocol for communication.
Inferential modules are being coded in MU-Prolog; non-inferential
modules are being prototyped in MU-Prolog and will be re-implemented
as needed in C++.

Host: Dr. Edward A. Fox, Dept. of Computer Science