ABSTRACT
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3. Comparison of an ontology with a source of data (Brewster et al., 2004) about the domain to be covered by the ontology
4. Evaluation by human experts (Lozano-Tello and Gómez-Pérez, 2004; Noy et al., 2005; Smith et al., 2004; Gulla and Sugumaran, 2008) to determine how ontologies meet prespecižed criteria
is chapter describes data-driven evaluations of ontologies using machine learning algorithms-one of task-based approaches for evaluation. Before we describe our approach in brief, it is helpful to explain the structure and the logic path of this chapter. e task we consider is measuring the performances of machine learning algorithms that can use ontologies (Dhar and Tuzhilin, 1993; Han and Fu, 1996; Hendler et al., 1996; Taylor et al., 1997; Zhang et al., 2002; Zhang and Honavar, 2003; Kang et al., 2004; Zhang and Honavar, 2004; Kang et al., 2005; Wu et al., 2005; Kang and Sohn, 2009). We then assess the quality of the ontologies based on the performance results of the machine learning algorithms.
