Cyc-Enhanced Machine Classification

We describe a framework for linking together a structured ontology, deductive logic, and probability, to solve classification problems. We illustrate this framework with the Whodunit problem: identifying the perpetrator of a crime. Several experiments show that the use of Cyc's ontology and inference abilities substantially improves classification accuracy, both in decision tree classifiers and with Markov Logic Networks.