Architecture of an expert system for composite document analysis, representation, and retrieval☆

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Abstract

The CODER (COmposite Document Expert/extended/effective Retrieval) project is a multi-yeare effort to investigate how best to apply artificial intelligence methods to increase the effectiveness of information retrieval systems handling collections of composite documents. To ensure system adaptability and to allow controlled experimentation, CODER has been designed as a distributed expert system. 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 quick prototyping, incremental development, and flexibility under change. The system as a whole is being implemented under UNIX as a set of MU-Prolog and C modules communicating through pipes and TCP/IP sockets.

Keywords

information retrieval
artificial intelligence
distributed expert system
knowledge bases
blackboard architecture
lexicon construction

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☆

Project funded in part by grants from the National Science Foundation (IST-8418877), the Virginia Center for Innovative Technology (INF-85-016), and by an AT&T equipment contribution. An earlier version of this paper was presented at the Third Annual USC Computer Science Symposium; Knowledge-Based Systems: Theory and Applications, Columbia, South Carolina, March 31–April 1, 1986.

Copyright © 1987 Published by Elsevier Inc.