Querying knowledge base systems with linguistic information via knowledge trees

✍ Scribed by Ronald R. Yager

• Publisher: Elsevier Science
• Year: 1983
• Weight: 884 KB
• Volume: 19
• Category: Article
• ISSN: 0020-7373
• DOI: 10.1016/s0020-7373(83)80043-1

✦ Synopsis

We are interested in finding automated procedures for extracting information from knowledge bases which contain linguistic information. We use the concept of a possibility distribution to represent the information in a linguistic value. The theory of approximate reasoning is used to provide both a means for translating propositions into a machine-understandable form and a methodology for making inferences from this information. An algorithmic procedure consisting of the development of a knowledge tree and an evaluation procedure resulting in the desired information are presented. In this paper we restrict ourselves to answering questions about the value of a variable from a knowledge base consisting of simple data statements and implication statements.