Ontology matching has become a key issue to solve problems of semantic heterogeneity. Several researchers propose diverse techniques that can be used in distinct scenarios. Ontology meta-matching approaches are a specialization of ontology matching and have achieved good results in pairs of ontologies with different types of heterogeneities. However, developing a new ontology meta-matcher can be a costly process and a lot of experiments are often carried out to analyze the behavior of the matcher. This article presents a modularized framework that covers the main stages of the ontology meta-matching evaluation process. This framework aims to aid researchers to develop and analyze algorithms for ontology meta-matching, mainly metaheuristic-based supervised and unsupervised approaches. As the main contribution of the research, the framework proposed will facilitate the evaluation of ontology meta-matching approaches and, as the secondary contribution, a data provenance model that captures the main information generated and consumed throughout experiments is presented in the framework.

中文翻译：

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评估本体元匹配方法的框架

本体匹配已成为解决语义异质性问题的关键问题。一些研究人员提出了可用于不同场景的多种技术。本体元匹配方法是本体匹配的一种特化方法，在具有不同类型异质性的本体对中取得了良好的效果。然而，开发新的本体元匹配器可能是一个代价高昂的过程，并且经常进行大量实验来分析匹配器的行为。本文提出了一个模块化框架，涵盖了本体元匹配评估过程的主要阶段。该框架旨在帮助研究人员开发和分析本体元匹配算法，主要是基于元启发式的有监督和无监督方法。作为研究的主要贡献，