OWL本体到事件- b形式模型的图形化转换

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Eman H. Alkhammash
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引用次数: 1

摘要

形式化方法使用数学模型来开发系统。本体是提供可重用领域知识表示的正式规范。本体已经成功地用于几个数据驱动的应用程序,包括数据分析。然而,从非正式的需求中创建正式的模型需要技巧和努力。歧义、不一致、不精确和不完整是非正式需求中的主要问题。为了解决这些问题,有必要使用方法和途径来支持需求到正式规范的映射。本文的目的是提出一种方法,通过使用Web本体语言(OWL)来构建Event-B形式化模型并支持数据分析,从而解决这一挑战。我们的方法减少了处理OWL本体和Event-B模型的形式化符号的负担,旨在分析领域知识并使用可视化图从OWL本体构建Event-B模型。这个想法是基于OWL本体的OntoGraf图到UML-B图的转换,目的是弥合OWL本体和Event-B模型之间的差距。可视化数据探索有助于数据分析和Event-B形式化模型的开发。为了管理复杂性,Event-B支持逐步细化,以允许在开发过程中最适当的阶段引入每个需求。UML-B支持细化,因此我们还引入了一种方法,允许我们对OntoGraf图进行划分和分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graphical Transformation of OWL Ontologies to Event-B Formal Models
: Formal methods use mathematical models to develop systems. Ontologies are formal specifications that provide reusable domain knowledge representations. Ontologies have been successfully used in several data-driven applications, including data analysis. However, the creation of formal models from informal requirements demands skill and effort. Ambiguity, incon-sistency, imprecision, and incompleteness are major problems in informal requirements. To solve these problems, it is necessary to have methods and approaches for supporting the mapping of requirements to formal specifications. The purpose of this paper is to present an approach that addresses this challenge by using the Web Ontology Language (OWL) to construct Event-B formal models and support data analysis. Our approach reduces the burden of working with the formal notations of OWL ontologies and Event-B models and aims to analyze domain knowledge and construct Event-B models from OWL ontologies using visual diagrams. The idea is based on the transformation of OntoGraf diagrams of OWL ontologies to UML-B diagrams for the purpose of bridging the gap between OWL ontologies and Event-B models. Visual data exploration assists with both data analysis and the development of Event-B formal models. To manage complexity, Event-B supports stepwise refinement to allow each requirement to be introduced at the most appropriate stage in the development process. UML-B supports refinement, so we also introduce an approach that allows us to divide and layer OntoGraf diagrams.
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来源期刊
Cmc-computers Materials & Continua
Cmc-computers Materials & Continua 工程技术-材料科学:综合
CiteScore
5.30
自引率
19.40%
发文量
345
审稿时长
1 months
期刊介绍: This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.
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