Decision Tree Applied to Learning Relations between Ontologies

Abstract—An ontology is a structural framework for organizing information in a domain. There may be different ontologies describing the same domain. This introduces heterogeneity and difficulty in integrating information. Thus arises the need for finding relations between ontologies. Decision tree classifier is a robust machine learning tool that can be used to learn relations between two ontologies constructed in the same domain and find links between any pair of classes taken from the ontologies.

Index Terms—Decision tree, ontology, ontology relations, machine learning.

R. Mirambicka and A. Razia Sulthana are with the Department of Information Technology, SRM University, Kattankulathur-603203, TamilNadu, India (e-mail: mirasri9@gmail.com, itrazia@gmail.com).
G. Vadivu is with the Department of Information Technology, SRM University, Kattankulathur- 603 203 (e-mail: vadivu.g@ktr.srmuniv.ac.in).

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Cite: R. Mirambicka, A. Razia Sulthana, and G. Vadivu, "Decision Tree Applied to Learning Relations between Ontologies," Lecture Notes on Software Engineering vol. 1, no. 2, pp. 164-168, 2013.