The FUSION project (Fuel cell Understanding through Semantic Inferencing, Ontologies and Nanotechnology) is a joint project between DSTC, the University of Queensland's Centre for Microscopy and Microanalysis (CMM) and Mathematics Department. It aims to apply, extend and combine Semantic Web technologies and image analysis techniques to develop a knowledge management system for optimizing the design of fuel cells. This problem domain produces large amounts of complex, varied, multi-level, mixed-media data and requires extensive tool support to analyse, extract and integrate the information necessary to improve the performance, efficiency and understanding of fuel cells.
Series of example microscopy images showing a fuel cell at different levels of magnification. Courtesy of CMM.
Sample fuel cell workflow.
The main functions of the FUSION project are to enable:
The project is applying and extending emerging technologies and W3C standards such as:
While the current area of application is a materials science domain, the core concepts and tools of the FUSION project apply equally well to many eScience, bioinformatics and biomedical problem areas.
A number of prototypes, ontologies and metadata schemas have been produced during the course of this project. A list of those outcomes that are available online can be found on the outcomes page. For more detailed information see the publications list or contact Suzanne Little or Jane Hunter.