Structure-Based Partitioning of Large Ontologies
Structure-Based Partitioning of Large Ontologies
复制标题
大型本体的基于结构的划分
DOI：
10.1007/978-3-642-01907-4_9
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Anne Schlicht
中科院分区：
文献类型：
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作者：
Heiner Stuckenschmidt;Anne Schlicht
在本章中，我们描述了一种基于结构的本体划分方法及其实现，实际上适用于非常大的本体。我们表明，模块化的本体的结构特性的基础上，只有已经在模块，直观地有意义的结果。该方法用于创建本体的概览图，并从本体中提取与人类专家选择的主题相对应的关键主题。由于本体的最佳模块化在很大程度上取决于它所用于的应用程序，我们实现了分区算法的方式，允许适应不同的要求。此外，该适配可以通过指定应用的要求来自动执行。
In this chapter we describe a method for structure-based ontology partitioning and its implementation that is practically applicable to very large ontologies. We show that a modularization based on structural properties of the ontology only already results in modules that intuitively make sense. The method was used for creating an overview graph for ontologies and for extracting key topics from an ontology that correspond to topics selected by human experts. Because the optimal modularization of an ontology greatly depends on the application it is used for, we implemented the partitioning algorithm in a way that allows for adaption to different requirements. Furthermore this adaption can be performed automatically by specifying requirements of the application.