Extracting module from OWL-DL ontology

Liang Zhang, Kun Liu, Xue Qin, Shengqun Tang
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引用次数: 4

Abstract

The use of ontologies lies at the very heart of the newly emerging era of semantic web. As information on the web increases significantly in size, web ontologies also tend to grow bigger, to such an extent that they become too large to be used in their entirety by any single application. Moreover, because of the size of the original ontology, the process of maintenance, reuse, reasoning and integration becomes very computationally extensive. Accordingly, the research community is increasing its effort towards the specification of frameworks and techniques that may help in downsizing ontology. Modularization is one of the approaches to achieve such a result. In this paper, we propose an algorithm of module extraction based on user's semantic query and realize it to a component of the framework for knowledge management system. Experiment shows that this approach is very useful in practice.
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从OWL-DL本体中提取模块
本体的使用是新出现的语义网时代的核心。随着web上的信息规模显著增加,web本体也趋向于变得更大,以至于它们变得太大而无法被任何单个应用程序完整地使用。此外,由于原始本体的规模,维护、重用、推理和集成的过程变得非常庞大。因此,研究社区正在加大对框架和技术规范的努力,这些框架和技术可能有助于精简本体。模块化是实现这一结果的方法之一。本文提出了一种基于用户语义查询的模块抽取算法,并将其实现为知识管理系统框架的一个组成部分。实验表明,该方法在实际应用中是非常有用的。
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