Building concept maps by adapting semantic distance metrics to Wikipedia

Abstract

Wide Web -is not organized in a specific way and natural language processing techniques are usually needed in order to obtain acceptable results. In this research Wikipedia is proposed since it does not have such limitations. This article defines an approach to adapt path-based semantic similarity measures to Wikipedia for building concept maps. Experimental evaluation with a well-known set of human similarity judgments shows that the Wikipedia adapted metrics obtains equal or even better results when compared with the non-adapted approaches.