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Building a General Knowledge Base of Physical Objects for Robots

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9989)

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”.

Keywords

Inference Rule Location Relation Semantic Role Discourse Referent Common Sense Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Inria Sophia AntipolisValbonneFrance
  2. 2.University of Nice Sophia AntipolisNiceFrance

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