European data spaces are increasingly promoting interoperability among systems by the use of shared vocabularies and standardized data models. Ontologies, which provide structured vocabularies to uniformly interpret data, are crucial for achieving this interoperability. One essential step in ontology development is the reuse of existing ontologies. However, in the last decade, many efforts have been spent to develop ontologies that, in some cases, cover the same domain. Thus, selecting the most suitable one for reuse is becoming a challenging task for ontology engineers. To address this, we propose a tool that assists ontology engineers in evaluating and selecting ontologies based on various criteria, including structural features, lexical coverage, fairness, and maturity. This tool offers a comprehensive scoring system to guide decision-making during the reuse phase, ensuring efficient ontology integration. It will be validated through feedback from domain experts and applied to develop a unified semantic data model for energy data spaces.