Towards a semantic web system for understanding real world representations


As the volume of multimedia content available on the Web continues to increase, there is a clear need for more advanced techniques for effective retrieval and management of such data. In this context, we see a growing interest in exploiting the potential of the Semantic Web in different research fields. But, on the other hand, there is a general lack of tools able to analyse, organize and understand digital shape models (especially 3D models) for easily populating repositories with complete and well-detailed metadata. Several steps are necessary to create and associate semantics with a shape and some of them are clearly context-dependent. In this paper, we present the design details of our new system, that we call be-SMART, for inspecting digital 3D shapes by extracting geometrical and topological information from them and for structuring and annotating these shapes using ontology-driven metadata. In particular, we describe the general structure of the system, the different modules and their mutual relations. We then concentrate on the first two modules of the system showing how the 3D models are annotated following ontology-driven metadata. We also provide motivations for further work in developing new techniques for both annotating and managing 3D models on the Web

Proceedings of the Tenth International Conference on Computer Graphics and Artificial Intelligence