A COMMON CHARACTERISTIC KNOWLEDGE DISCOVERY SYSTEM IN DISTRIBUTED COMPUTING ENVIRONMENT

Abstract

This paper describes an automated query discovery system for retrieving common characteristic knowledge from a database in a distributed computing environment. The paper particularly centers on the problem of discovering the common characteristics that are shared by a set of objects in a database. This type of commonalities can be useful in finding a typical profile for the given object set or outstanding features for a group of objects in a database. In our approach, commonalities within a set of objects are described by database queries that compute the given set of objects. We use the genetic programming as a major search engine to discover such queries. The paper discusses the architecture and the techniques used in our system, and presents some experimental results to evaluate the system. In addition, for the performance improvement, we built a distributed computing environment for our system with clustered computers using the Common Object Request Broker Architecture (CORBA). The paper briefly discusses our clustered computer architecture, the implementation of distributed computing environment, and shows the overall performance improvement.