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A framework for evaluating ontology meta-matching approaches

机译:评估本体元匹配方法的框架

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摘要

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.
机译:本体匹配已成为解决语义异质性问题的关键问题。几位研究人员提出了可用于不同情景的多样化技术。本体元匹配方法是本体匹配的专业化,并以不同类型的异质性成对的本体在本体中取得了良好的结果。然而,开发新的本体匹配者可以是昂贵的过程,并且经常进行大量实验以分析匹配者的行为。本文介绍了模块化框架,涵盖了本体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荟萃匹配的算法,主要是基于殖民主义的监督和无监督的方法。作为研究的主要贡献,建议的框架将促进本体匹配方法的评估,以及捕获在整个实验中产生和消耗的主要信息的数据出处模型。

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