An OWL-Based Ontology to Represent Knowledge about Location, Space and Perceputual Primitives

Human does not understand an intelligent agent believe the real space well. Therefore, human interface for virtual space is not able to make a believable communication for the human. In this paper, we try to make a communication model between human and intelligent agent with an owl-like language which represents knowledge about real space. On the proposed owl-like language is consisted by location, space and perceptual primitives. The proto type system is designed on the open-sim environment.