Performance evaluation of robotic knowledge representation (PERK)

Authors:
Craig Schlenoff;Sebti Foufou;Stephen Balakirsky
Affiliations:
National Institute of Standards and Technology, Gaithersburg, MD and University of Burgundy, Dijon, France;University of Burgundy, Dijon, France and Qatar University, Doha, Qatar;National Institute of Standards and Technology, Gaithersburg, MD
Venue:
Proceedings of the Workshop on Performance Metrics for Intelligent Systems
Year:
2012

Citing 6
Cited 0

Cyc: toward programs with common sense

Communications of the ACM
A translation approach to portable ontology specifications

Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Toward principles for the design of ontologies used for knowledge sharing

International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Programming in PROLOG

Programming in PROLOG
Managing Ontology Changes on the Semantic Web

WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Knowledge engineering for real time intelligent control

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Special Issue on Knowledge Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we explore some ways in which symbolic knowledge representations have been evaluated in the past and provide some thoughts on what should be considered when applying and evaluating these types of knowledge representations for real-time robotics applications. The emphasis of this paper is that the robotic applications require real-time access to information, which has not been one of the aspects measured in traditional symbolic representation evaluation approaches.