OntoCBR:上下文感知应用中基于本体的CBR

2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008) Pub Date : 2008-04-24 DOI:10.1109/MUE.2008.56

Yun Bai, Juan Yang, Yuhui Qiu

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引用次数: 14

摘要

当前的上下文感知应用广泛使用本体来描述上下文。然而，其中大多数基于本体的推理规则是预定义的或用户自定义的。它们缺乏灵活性来应对多变的需求。本文提出了一种基于本体的案例推理模型——OntoCBR。OntoCBR比较上下文之间的相似性。我们还提供了获取基于本体的上下文的相似性的方法。

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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OntoCBR: Ontology-Based CBR in Context-Aware Applications

Current context-aware applications are widely using ontology to describe context. However, most rules of the ontology-based reasoning in them are pre-defined or user-defined. They are short of flexibility to cope with the variant requirements. This paper proposes a ontology-based case-based reasoning model named OntoCBR. OntoCBR compares the similarity between contexts. We also provide the way to get the similarity of the ontology-based contexts.

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来源期刊

2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008)

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