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A Semantic-based Workflow Choreography for Integrated Sensing and Processing

By Y-H Chen-Burger and F-P Lin

Abstract

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the authorâ s and shouldnâ t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.Real-time automatic and continuous information gathering through EcoGrid offers an unique and immense opportunity for long term ecological monitoring and planning.\ud However, the vast amount of raw data gathered must be dealt with efficiently and effectively so that they may be timely\ud turned into useable information to assist ecological management.\ud In addition, Ecological data tends to subject to environmental changes and exception-prone so that their qualities vary. Adaptive\ud business process modelling (BPM) techniques provide rich conceptualisation to support workflow systems to perform integrated\ud analytical and documentation tasks flexibly and efficiently. We present one such BPM and show how adaptive workflow systems,\ud like those developed at AIAI, can take advantage of Enterprise Models represented in FBPML to provide effective support to\ud users in real Grid environments

Topics: Informatics, artificial intelligence, Computer Science, business process modelling, Artificial Intelligence Applications Institute
Publisher: IEEE Computer Society
Year: 2005
OAI identifier: oai:www.era.lib.ed.ac.uk:1842/2180

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Citations

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