Ontology Authoring from Relational Database: A Model Based Approach

Benamar Bouougada, D. Bouchiha
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引用次数: 1

Abstract

The ontology authoring is a fundamental task in the Semantic Web. This process enables the domain expert to develop ontologies with the help of dedicated tools. This article presents an approach for building OWL ontologies from relational databases based on Model Driven Engineering (MDE). The proposed approach consists of two phases: (1) Preprocessing phase and (2) Transformation phase. The first one consists of creating an input model from the database which must conform to its meta-model. The second phase takes this model as input and transforms it into an OWL file by executing a set of mapping rules written in Atlas Transformation Language (ATL). The transformation process is done at a higher level of abstraction; it does a matching between the source meta-model elements (Database) and the target meta-model elements (OWL). We have concretized our approach as the DB2OWLOntology tool, and we have evaluated it with a set of databases. The obtained results are encouraging and show the efficiency of the proposed approach.
基于关系数据库的本体创作:一种基于模型的方法
本体创作是语义Web的一项基本任务。这个过程使领域专家能够在专用工具的帮助下开发本体。本文提出了一种基于模型驱动工程(Model Driven Engineering, MDE)从关系数据库构建OWL本体的方法。该方法包括两个阶段:(1)预处理阶段和(2)转换阶段。第一个包括从数据库创建输入模型,该模型必须符合其元模型。第二阶段将此模型作为输入,并通过执行用Atlas Transformation Language (ATL)编写的一组映射规则将其转换为OWL文件。转换过程是在更高的抽象层次上完成的;它在源元模型元素(Database)和目标元模型元素(OWL)之间进行匹配。我们将这种方法具体化为DB2OWLOntology工具,并使用一组数据库对其进行了评估。所得结果令人鼓舞,表明了所提方法的有效性。
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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