Building a General Knowledge Base of Physical Objects for Robots
Abstract
In this paper we present an ongoing work on building a repository of knowledge about objects typically found in homes, their usual locations and usage. We extract an RDF knowledge base by automatically reading text on the Web and applying simple inference rules. The obtained common sense object relations are ready to be used in a domestic robotic setting, e.g. " a frying pan is usually located in the kitchen " .
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