Incorporating VR Databases into AI Knowledge Representations: A Framework for Intelligent Graphics Applications
M. Latoschik, and M. Schilling. Proceedings of the Sixth International Conference on Computer Graphics and Imaging, page 79-84. ACTA Press, (2003)
Abstract
This article presents a framework for incorporating commonly used VR (Virtual Reality) databases for
graphics and physics simulation into an AI (Artificial Intelligence) knowledge base using a unifying
semantic net (SN) representation. Several examples in the area of multimodal interaction for AI based
graphics applications are given to motivate this approach. An evaluation of the chosen SN knowledge representation (KR) regarding five roles suitable to analyze a given KR is followed by a discussion about
resulting conceptual and technical requirements for the underlying DB/KBMS (database/knowledge base management system) which supports the chosen KR as well as mediating layers for external simulation relevant modules.
%0 Conference Paper
%1 latoschik:Incorporating:CGIM03
%A Latoschik, Marc Erich
%A Schilling, Malte
%B Proceedings of the Sixth International Conference on Computer Graphics and Imaging
%D 2003
%I ACTA Press
%K myown scive
%P 79-84
%T Incorporating VR Databases into AI Knowledge Representations: A Framework for Intelligent Graphics Applications
%U http://www.hci.uni-wuerzburg.de/download/incorporating_VR_into_AI.pdf
%X This article presents a framework for incorporating commonly used VR (Virtual Reality) databases for
graphics and physics simulation into an AI (Artificial Intelligence) knowledge base using a unifying
semantic net (SN) representation. Several examples in the area of multimodal interaction for AI based
graphics applications are given to motivate this approach. An evaluation of the chosen SN knowledge representation (KR) regarding five roles suitable to analyze a given KR is followed by a discussion about
resulting conceptual and technical requirements for the underlying DB/KBMS (database/knowledge base management system) which supports the chosen KR as well as mediating layers for external simulation relevant modules.
@inproceedings{latoschik:Incorporating:CGIM03,
abstract = {This article presents a framework for incorporating commonly used VR (Virtual Reality) databases for
graphics and physics simulation into an AI (Artificial Intelligence) knowledge base using a unifying
semantic net (SN) representation. Several examples in the area of multimodal interaction for AI based
graphics applications are given to motivate this approach. An evaluation of the chosen SN knowledge representation (KR) regarding five roles suitable to analyze a given KR is followed by a discussion about
resulting conceptual and technical requirements for the underlying DB/KBMS (database/knowledge base management system) which supports the chosen KR as well as mediating layers for external simulation relevant modules.},
added-at = {2012-05-03T15:56:47.000+0200},
author = {Latoschik, Marc Erich and Schilling, Malte},
biburl = {https://www.bibsonomy.org/bibtex/2ee4bcaeebc892367761110e0a17d6b82/marcerich},
booktitle = {Proceedings of the Sixth International Conference on Computer Graphics and Imaging},
interhash = {90fb7135ace649ed71723bc1de333bf9},
intrahash = {ee4bcaeebc892367761110e0a17d6b82},
keywords = {myown scive},
pages = {79-84},
publisher = {ACTA Press},
timestamp = {2015-06-20T09:46:08.000+0200},
title = {Incorporating VR Databases into AI Knowledge Representations: A Framework for Intelligent Graphics Applications},
url = {http://www.hci.uni-wuerzburg.de/download/incorporating_VR_into_AI.pdf},
year = 2003
}