Building semantic digital libraries: Automated ontology linking by associative naïve bayes classifier

Abstract

In this paper, we present a new classification method, called Associative Naïve Bayes (ANB), to associate MEDLINE citations with Gene Ontology (GO) terms. We define the concept of class-support to find frequent itemsets and the concept of class-all-confidence to find interesting itemsets. Empirical test results on three MEDLINE datasets show that ANB is superior to naïve Bayesian classifier. The results also show that ANB outperforms the state of the art Large Bayes classifier. © Springer-Verlag Berlin Heidelberg 2005.