Building Knowledge Scouts Using KGL Metalanguage

11 years 1 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge generation metalanguage, KGL, is used to creating scripts defining such knowledge scouts. Knowledge scouts operate in an inductive database, by which we mean a database system in which conventional data and knowledge management operators are integrated with a wide range of data mining and inductive inference operators. Discovered knowledge is represented in two forms: (1) attributional rules, which are rules in attributional calculus--a logic-based language between ional and predicate calculus, and (2) association graphs, which graphically and abstractly represent relations expressed by the rules. These graphs can depict multi-argument relationships among different concepts, with a visual indication of the relative strength of each dependency. Presented ideas are illustrated by two simple knowledge scouts, one ...
Ryszard S. Michalski, Kenneth A. Kaufman
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2000
Where FUIN
Authors Ryszard S. Michalski, Kenneth A. Kaufman
Comments (0)