Semantic-Based Grid Workflow for Video Processing

Automatic video processing for the EcoGrid poses many challenges as there is a vast amount of raw data that need to be analysed effectively and efficiently. Furthermore, ecological data are subject to environmental changes and are exception-prone, hence their qualities vary. We propose a hybrid workflow composition system that strives to provide automation to speed up this process. This approach utilises ontologies to provide semantic interoperability and Planning for task decomposition. We wish to extend the flexibility of workflow systems to vision problemswhich are highly specialised by nature. The solution soughtis one that best satisfies the system's requirements and that overcomes the limitations of existing Grid workflow composition systems.