IDEALS Home University of Illinois at Urbana-Champaign logo The Alma Mater The Main Quad

Knowledge Representation in Artificial Intelligence

Show full item record

Bookmark or cite this item: http://hdl.handle.net/2142/1300

Files in this item

File Description Format
PDF Travis.pdf (1MB) PDF
Title: Knowledge Representation in Artificial Intelligence
Author(s): Travis, Irene L.
Subject(s): Libraries --Automation Expert systems (Computer science) Artificial intelligence Library science --Data processing
Abstract: The problems of knowledge representation and use in expert systems and the problems of organizing and searching information in libraries and other bibliographic systems have much in common. There are two basic paradigms for representing knowledge in the knowledge bases of expert systems: rule-based and object-based. Of the two, the rulebased approach has had more publicity, but the object-oriented approach, which will seem more familiar to librarians, is coming to be seen as a necessary complement to rules or even as the more basic system component. One of the principal unsolved problems in knowledge representation is how to provide expert systems and natural language processing systems with more world knowledge, particularly "common sense" knowledge, in order to make them more robust. A major project to build a knowledge base of such basic information is underway at the Microelectronics and Computer Corporation (MCC), a corporation financed by a consortium of American industry to carry out research in advanced computing and computing technology. Since the project represents an attempt to organize a very large and general body of knowledge for use, it can be hypothesized that it will face many of the same problems faced by librarians as they have done the same thing. The project's published goals and achievements at the midpoint of its ten-year life are reviewed from that perspective. Four barriers to such efforts are discussed: (1) the variability of human performance in tasks related to knowledge representation and search; (2) the paradox of structure; (3) the double-edged nature of the 80/20 rule; and (4) the inertia of an installed base.
Issue Date: 1990
Publisher: Graduate School of Library and Information Science. University of Illinois at Urbana-Champaign.
Citation Info: In F.W.Lancaster and L.C.Smith, ed. 1990. Artificial intelligence and expert systems : will they change the library? Papers presented at the 1990 Clinic on Library Applications of Data Processing. Urbana, Il: Graduate School of Library and Information Science: 215-238.
Series/Report: Clinic on Library Applications of Data Processing (27th : 1990)
Genre: Conference Paper / Presentation
Type: Text
Language: English
URI: http://hdl.handle.net/2142/1300
ISBN: 0-87845-084-X
ISSN: 0069-4789
Publication Status: published or submitted for publication
Rights Information: Copyright owned by Board of Trustees of the University of Illinois. 1990.
Date Available in IDEALS: 2007-07-10
 

This item appears in the following Collection(s)

Show full item record

Item Statistics

  • Total Downloads: 298
  • Downloads this Month: 9
  • Downloads Today: 0

Browse

My Account

Information

Access Key