A semantic-based workflow choreography for integrated sensing and processing

Real-time automatic and continuous information gathering through EcoGrid offers an unique and immense opportunity for long term ecological monitoring and planning. However, the vast amount of raw data gathered must be dealt with efficiently and effectively so that they may be timely turned into useable information to assist ecological management. In addition, Ecological data tends to subject to environmental changes and exception-prone so that their qualities vary. Adaptive business process modelling (BPM) techniques provide rich conceptualisation to support workflow systems to perform integrated analytical and documentation tasks flexibly and efficiently. We present one such BPM and show how adaptive workflow systems, like those developed at AIAI, can take advantage of enterprise models represented in FBPML to provide effective support to users in real grid environments.