Learning Disjointness
Learning Disjointness
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DOI：
10.1007/978-3-540-72667-8_14
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发表时间：
2007-06
期刊：
影响因子：
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通讯作者：
Johanna Völker;Denny Vrandečić;York Sure-Vetter;A. Hotho
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文献类型：
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作者：
Johanna Völker;Denny Vrandečić;York Sure-Vetter;A. Hotho
越来越多的应用程序受益于轻量级本体，或者换句话说，“一点语义就能走很长的路”。然而，我们的经验表明，更多的表现力可以提供显著的优势。例如，引入不相交公理，极大地促进了本体的一致性检查和自动评估。在广泛的用户研究中，我们发现对不连接进行适当的建模是一项困难且非常耗时的任务。因此，我们开发了一种方法来自动丰富学习或人工工程本体与不相交公理。这种方法依赖于从不同来源获得语法和语义证据的几种方法，我们认为这为学习脱节提供了坚实的基础。在彻底评估了我们的方法的实现之后，我们认为在未来的本体工程环境中，不相交公理的自动发现可能有助于提高任何给定本体的丰富性、质量和有用性。
An increasing number of applications benefits from light-weight ontologies, or to put it differently“a little semantics goes a long way”. However, our experience indicates that more expressiveness can offer significant advantages. Introducing disjointness axioms, for instance, greatly facilitates consistency checking and the automatic evaluation of ontologies. In an extensive user study we discovered that proper modeling of disjointness is a difficult and very time-consuming task. We therefore developed an approach to automatically enrich learned or manually engineered ontologies with disjointness axioms. This approach relies on several methods for obtaining syntactic and semantic evidence from different sources which we believe to provide a solid base for learning disjointness. After thoroughly evaluating the implementation of our approach we think that in future ontology engineering environments the automatic discovery of disjointness axioms may help to increase the richness, quality and usefulness of any given ontology.