Abstract
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.
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Wang, E., Kim, Y.S., Kim, H.S., Son, J.H., Lee, S., Suh, I.H. (2005). Ontology Modeling and Storage System for Robot Context Understanding. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_130
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DOI: https://doi.org/10.1007/11553939_130
Publisher Name: Springer, Berlin, Heidelberg
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