用OWL DL为上下文建模打开了大门——一个案例研究

Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06) Pub Date : 2006-03-13 DOI:10.1109/PERCOMW.2006.114

Anni-Yasmin Turhan, T. Springer, M. Berger

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引用次数: 25

摘要

在本文中，我们提出了一个使用OWL DL对上下文应用程序进行建模和推理的集成视图。在我们的案例研究中，我们描述了一种任务驱动的方法，将典型情况建模为OWL DL本体中的上下文概念。在运行时OWL个体形成情景描述，并通过使用实现来识别特定的上下文。我们通过对OWL DL可用的高度优化描述逻辑(DL)推理器的性能测量来证明我们方法的可行性

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Pushing doors for modeling contexts with OWL DL - a case study

In this paper we present an integrated view for modeling and reasoning for context applications using OWL DL. In our case study, we describe a task driven approach to model typical situations as context concepts in an OWL DL ontology. At run-time OWL individuals form situation descriptions and by use of realization we recognise a certain context. We demonstrate the feasibility of our approach by performance measurements of available highly optimised description logics (DL) reasoners for OWL DL

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Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)

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