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 formfunction 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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 922–929). Springer Verlag. https://doi.org/10.1007/11553939_130
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