Premium
A knowledge representation for conceptual information retrieval
Author(s) -
Tong Richard M.,
Appelbaum Lee A.,
Askman Victor N.
Publication year - 1989
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550040304
Subject(s) - rubric , computer science , knowledge representation and reasoning , representation (politics) , information retrieval , domain knowledge , process (computing) , natural language processing , artificial intelligence , psychology , mathematics education , programming language , politics , political science , law
This article contains a detailed description of the knowledge representation used in RUBRIC, our concept‐based, full‐text information retrieval system. Since we view information retrieval as a process of evidential reasoning, the RUBRIC knowledge representation is designed to help maintain a clear distinction between descriptions of domain concepts, the documentary evidence for those concepts, and the beliefs about concepts that can be sustained on the basis of the evidence. This article is a consolidation of our earlier work in this area, containing, as it does, a revised language for defining concepts, an extended view of the role of evidence, and a formally grounded model of belief.