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In this book we have taken a two steps view on reducing semantic heterogeneity: () matching of entities to determine alignment and () processing the alignment according to application needs. In the previous chapters we have discussed various themes related to the first step. In this chapter, in turn, we present how the alignments can be specifically used by the applications, thus focusing on the alignment processing step.

In this book we have attempted at covering ontology matching in its diversity. In particular, we have shown that there are many applications that may need ontology matching (Chap. 1) and that there are different forms of ontologies that may need to be matched (Chap. 2). Ontology matching can take advantage of innumerable basic techniques (Chap. 4) composed and supervised in diverse ways (Chap. 5). The output of matching can be provided according to different representations (Chap. 8) or executable forms (Chap. 10) which may need to be justified (Chap. 9). This, in turn, has led to a profusion of available systems (Chap. 6).