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Ontology Modeling and Storage System for Robot Context Understanding

机译:机器人上下文理解的本体建模与存储系统

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A mobile robot that interacts with its environment needs a machine-understandable representation of objects and their usages. We present an ontology of objects, with generic shape representations obtained through form-function reasoning. Sets of objects are associated with typical human activities, which supports context understanding. We describe an efficient ontology document storage system, which is based on stable and well-known relational databases. We first design a relational data schema appropriate for Web Ontology Language (OWL) documents, and then develop a transformation mechanism from OWL documents to the relational schema.
机译:与环境交互的移动机器人需要对象及其用途的机器可理解的表示。我们介绍了对象的本体,并通过形式函数推理获得了通用的形状表示。对象集与典型的人类活动相关联,从而支持上下文理解。我们描述了一种有效的本体文档存储系统,该系统基于稳定且众所周知的关系数据库。我们首先设计适用于Web本体语言(OWL)文档的关系数据架构,然后开发从OWL文档到关系架构的转换机制。

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