Using Metamodels to Improve Product Models and Facilitate Inferencing

P. Witherell, A. Narayanan, Jae-Hyun Lee
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引用次数: 1

Abstract

Increasing information requirements are causing domain models to become more complex and difficult to manage. Domain-specific languages are developed with consideration for domain experts, and therefore are meant to be domain-friendly. However, their effectiveness in domain-specific models, when developed for knowledge management applications, is often limited by their expressiveness and implementation. In this paper we discuss current domain modeling practices, specifically the use of OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language) within the context of product development, and how they often do not consider their intended application. To address this, we (1) recommend a set of best practices to account for domain context while promoting application-specific domain modeling, (2) propose that a metamodel be used to incorporate these practices early on in domain modeling and review how similar information has been represented in the past, and (3) discuss what factors should be considered in the development of such a metamodel in the future.
使用元模型改进产品模型并促进推理
不断增长的信息需求导致领域模型变得更加复杂和难以管理。特定于领域的语言是在考虑领域专家的情况下开发的,因此意味着对领域友好。然而,当为知识管理应用程序开发时,它们在特定领域模型中的有效性经常受到表达性和实现的限制。在本文中,我们讨论了当前的领域建模实践,特别是在产品开发的上下文中使用OWL (Web本体语言)和SWRL(语义Web规则语言),以及它们如何经常不考虑它们的预期应用。为了解决这个问题,我们(1)推荐了一组最佳实践,以在促进特定于应用程序的领域建模时考虑领域上下文;(2)建议在领域建模的早期使用元模型来合并这些实践,并回顾过去类似的信息是如何表示的;(3)讨论在将来开发这样的元模型时应该考虑哪些因素。
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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