Ontology learning algorithm using weak functions

Abstract

Ontology is widely used in information retrieval, image processing and other various disciplines. This article discusses how to use machine learning approach to solve the most essential similarity calculation problem in multi-dividing ontology setting. The ontology function is regarded as a combination of several weak ontology functions, and the optimal ontology function is obtained by an iterative algorithm. In addition, the performance of the algorithm is analyzed from a theoretical point of view by statistical methods, and several results are obtained.

Keywords

• ontology
• similarity measuring
• ontology mapping
• machine learning
• 05.10.-a
• 02.50.-r