Authors: Alfred Castillo, Arturo Castellanos, Debra VanderMeer
Tags: 2019, basic level categories, machine learning, ontology, psychology, recommendation systems
We propose an approach for building hierarchical ontology structures based purely on a set of category labels, and knowledge of object membership within these categories. We describe our approach, as well as a comparison approach based on information gain, and present an example tree resulting from each approach to compare and contrast the resulting trees.
Cite as:
Castillo A., Castellanos A., and VanderMeer D. (2019). “Inferring an Ontology from Object Membership,” in AIS SIGSAND, New York, NY, United States, June 1-2, 2019.
