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TopSemantic Web is designed to let users and machines describe resources, share that data in a distributed manner and enable interpretation and processing of the related data (Lee, Hendler, & Lassila, 2001; Lee, 2001). In recent years, ontologies are widely used to realize the data layer of Semantic Web. In this paper the specific problem of mining onlogy-powered systems is addressed. One reason for focusing in the knowledge discovery aspect of a Semantic Web environment is that the concepts and relations of an ontology have an impact on the quantity and quality of the patterns that may be extracted from such graph-based data (Di-Jorio, Bringay, Fiot, Laurent, & Teisseire, 2008; Liao, Chen, & Hsu, 2009; Rajapaksha & Kodagoda, 2008).
Mining data in the context of ontology-powered systems involves different fields such as ontology engineering, knowledge discovery and pattern mining. Hereafter, the background knowledge related to this study on both pattern mining and ontologies is presented.