Ontology modeling and storage system for robot context understanding

Authors:
Eric Wang;Yong Se Kim;Hak Soo Kim;Jin Hyun Son;Sanghoon Lee;Il Hong Suh
Affiliations:
Creative Design and Intelligent Tutoring Systems Research Center, Sungkyunkwan University, Korea;Creative Design and Intelligent Tutoring Systems Research Center, Sungkyunkwan University, Korea;Department of Computer Science and Engineering, Hanyang University, Korea;Department of Computer Science and Engineering, Hanyang University, Korea;Graduate School of Information and Communications, Hanyang University, Korea;Graduate School of Information and Communications, Hanyang University, Korea
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

Citing 2
Cited 0

Function-based generic recognition for multiple object categories

CVGIP: Image Understanding
RACER System Description

IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning

Quantified Score

Hi-index	0.00

Visualization

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.