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arXiv cs/0601119cs.SE
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基于领域本体的工程概念数据模型:一个批判性评价

Engineering Conceptual Data Models from Domain Ontologies: A Critical Evaluation

Haya El-Ghalayini, Mohammed Odeh, Richard McClatchey

摘要:

研究了领域本体与概念数据模型的异同,以及在信息系统开发过程中,本体在建立概念数据模型中的作用。提出了一种映射算法,并将其嵌入到专用转换引擎中,以从给定的领域本体生成概念数据模型。定量和定性的方法都被用来批判性地评价这种新方法。此外,本文着重于使用Bunge-Wand-Weber和OntoClean本体来评估生成的概念数据模型元素的质量。该评估的结果表明,所生成的概念数据模型提供了高度的准确性,在识别大量的领域实体,以及它们的属性和关系是来自领域知识的共识语义。结果是令人鼓舞的,并支持这种方法可以参与信息系统开发过程中的潜在作用。

英文摘要:

This paper studies the differences and similarities between domain ontologies and conceptual data models and the role that ontologies can play in establishing conceptual data models during the process of information systems development. A mapping algorithm has been proposed and embedded in a special purpose Transformation Engine to generate a conceptual data model from a given domain ontology. Both quantitative and qualitative methods have been adopted to critically evaluate this new approach. In addition, this paper focuses on evaluating the quality of the generated conceptual data model elements using Bunge-Wand-Weber and OntoClean ontologies. The results of this evaluation indicate that the generated conceptual data model provides a high degree of accuracy in identifying the substantial domain entities along with their attributes and relationships being derived from the consensual semantics of domain knowledge. The results are encouraging and support the potential role that this approach can take part in process of information system development.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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