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

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.

Mots clés: Virtual Reality; Interactions; Knowledge Representation and Reasoning

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Intelligence artificielle [cs.AI]

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⟩