Formalization of Ontology Conceptualizations Using Model Transformation

Malika Boudia, M. Bourahla
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引用次数: 0

Abstract

Conceptual models are built with concepts and relationships between them to reach a unified view of domain problems. There are many kinds of conceptual models developed in different modeling languages, such as class diagrams and entity-relationship models. In this paper, the authors have developed a specific meta-model following the Ecore standard to define conceptual models. These domain-specific conceptual models can be automatically formalized as domain ontologies using model transformation with the technique of triple graph grammars into ontology formal descriptions in accordance with the defined Ecore meta-model of the language OWL (web ontology language). For ontology deployment, its OWL code may be generated from OWL models using model-to-code transformation guided by Xpand templates. A performance evaluation is realized using a benchmark from the university domain with very large conceptual models. Through the experiments, they validate the performance and we prove the exactness and the scalability of the automatic transformation process of conceptual models.
使用模型转换的本体概念化形式化
概念模型是用概念和它们之间的关系来构建的,以达到对领域问题的统一视图。用不同的建模语言开发的概念模型有很多种,例如类图和实体关系模型。在本文中,作者根据Ecore标准开发了一个特定的元模型来定义概念模型。这些领域特定的概念模型可以使用三图语法技术的模型转换自动形式化为领域本体,并根据定义好的web本体语言OWL (web ontology language)的Ecore元模型自动形式化为本体的形式化描述。对于本体部署,它的OWL代码可以使用由扩展模板指导的模型到代码转换从OWL模型生成。利用大学领域的一个具有非常大的概念模型的基准来实现性能评估。通过实验验证了该方法的性能,证明了概念模型自动转换过程的准确性和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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