We introduce semantic reflection as an architectural concept for Intelligent Virtual Environments (IVEs). SCIVE, a dedicated IVE simulation core, combines modularity with close coupled integrative aspects to provide semantic reflection on multiple layers from low-level simulation core logic, specific simulation modules\u0027 appli-
cation definitions, to high-level semantic environment descriptions. SCIVE\u0027s Knowledge Representation Layer provides the central organizing structure which ties together data representations of simulation modules, e.g., for graphics, physics, audio, haptics, or AI etc., while it additionally allows bidirectional knowledge driven ac-
cess between the modules.
%0 Conference Paper
%1 latoschik:2007:semantic_reflection
%A Latoschik, Marc Erich
%A Fröhlich, Christian
%B Proceedings of the IEEE VR 2007
%D 2007
%K myown
%P 305-306
%T Semantic Reflection for Intelligent Virtual Environments
%U https://downloads.hci.informatik.uni-wuerzburg.de/semantic-reflection-VR07.pdf
%X We introduce semantic reflection as an architectural concept for Intelligent Virtual Environments (IVEs). SCIVE, a dedicated IVE simulation core, combines modularity with close coupled integrative aspects to provide semantic reflection on multiple layers from low-level simulation core logic, specific simulation modules\u0027 appli-
cation definitions, to high-level semantic environment descriptions. SCIVE\u0027s Knowledge Representation Layer provides the central organizing structure which ties together data representations of simulation modules, e.g., for graphics, physics, audio, haptics, or AI etc., while it additionally allows bidirectional knowledge driven ac-
cess between the modules.
@inproceedings{latoschik:2007:semantic_reflection,
abstract = {We introduce semantic reflection as an architectural concept for Intelligent Virtual Environments (IVEs). SCIVE, a dedicated IVE simulation core, combines modularity with close coupled integrative aspects to provide semantic reflection on multiple layers from low-level simulation core logic, specific simulation modules\u0027 appli-
cation definitions, to high-level semantic environment descriptions. SCIVE\u0027s Knowledge Representation Layer provides the central organizing structure which ties together data representations of simulation modules, e.g., for graphics, physics, audio, haptics, or AI etc., while it additionally allows bidirectional knowledge driven ac-
cess between the modules.},
added-at = {2012-05-02T17:07:10.000+0200},
author = {Latoschik, Marc Erich and Fröhlich, Christian},
biburl = {https://www.bibsonomy.org/bibtex/2eaf3a45eed78d1021610c549ffbb5b76/hci-uwb},
booktitle = {Proceedings of the IEEE VR 2007},
interhash = {7061bde49e00eb4d23a973b7f469cb51},
intrahash = {eaf3a45eed78d1021610c549ffbb5b76},
keywords = {myown},
pages = {305-306},
timestamp = {2019-05-13T20:59:39.000+0200},
title = {Semantic Reflection for Intelligent Virtual Environments},
url = {https://downloads.hci.informatik.uni-wuerzburg.de/semantic-reflection-VR07.pdf},
year = 2007
}