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 ...

• Type: Journal
• Year: 2000
• Where: FUIN
• Authors: Ryszard S. Michalski, Kenneth A. Kaufman
• Keywords: Databases, FUIN 2000, Knowledge Generation Metalanguage, Knowledge Scouts