Using Conceptual Graphs to embed expert knowledge in VR Interactions: Application to Structural Biology

Malik Qasim 1 Guillaume Bouyer 1 Nicolas Férey 2
1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Abstract : To manage expert knowledge in VR interactions, we propose a software architecture based on semantic representation with Conceptual Graphs. We applied it on structural biology analysis. We define three semantic layers. The first layer embeds basic and specific domain knowledge (objects of interest). The second one describes the available tools in the application (visual representations). The third layer contains facts coming from VR interactions. Operations such as merging, projection, specialization and generalization allow us to build pattern conceptual graphs. They are translated using application specific wrapper into command interpretable by our targeted application. One goal is to release experts from the technical aspects of commands, and allow them to use their field terminology as vocal commands, in order to concentrate on the exploration task.
Keywords : Virtual Reality Interactions Knowledge Representation and Reasoning
Document type :
Conference papers
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download
https://hal.archives-ouvertes.fr/hal-01753890
Contributor : Guillaume Bouyer <>
Submitted on : Friday, March 30, 2018 - 3:12:25 PM
Last modification on : Monday, February 10, 2020 - 6:14:05 PM

File

Malik JVRC 2013.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01753890, version 1

Collections

UNIV-EVRY | IBISC | IBISC-IRA2 | CNRS | LIMSI | SORBONNE-UNIVERSITE

Citation

Malik Qasim, Guillaume Bouyer, Nicolas Férey. Using Conceptual Graphs to embed expert knowledge in VR Interactions: Application to Structural Biology. 5th Joint Virtual Reality Conference – JVRC 2013, Dec 2013, Campus Paris Saclay, France. ⟨hal-01753890⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

74

Files downloads

42

Contact

Informations

CCSD