Ontology knowledge-based framework for machine learning concept

Abstract

In the objective of this paper was to present ontology knowledge-based design and development to explain concepts and machine learning techniques which were compiled from book, articles, research and websites that publish information. The database structure includes 4 application domains: 1) learning 2) learning techniques 3) learning evaluation and 4) machine learning technique applications. The experimental evaluation was conducted by retrieving data using question sets. The results of the evaluation showed precision value at 99.65 percent and recall value at 95.90 percent. This machine learning ontology could be applied to other related information systems and databases for future development and further research.