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Selecting the desired ontology from a collection of available ones is essential for ontology reuse. We address the problem of evaluating, ranking and selecting ontologies according to user preferences. We exploit the Analytic Hierarchy Process (AHP) to solve the multiple-criteria decision problem and to model the preferences of the users. We use AHP to analyze the available ontologies from different perspectives and at different abstraction levels. The decision is based on the concrete endnodedoi:10.1109/synasc.2014.47 dblp:conf/synasc/GrozaDSJM14 fatcat:qxcldxstkzbmre2ynnnce2hcmq