The semantic reef: managing complex knowledge to predict coral bleaching on the great barrier reef

  • Authors:
  • Trina S. Myers;Ian M. Atkinson;William J. Lavery

  • Affiliations:
  • James Cook University, Townsville, Queensland;James Cook University, Townsville, Queensland;James Cook University, Townsville, Queensland

  • Venue:
  • ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
  • Year:
  • 2007

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Abstract

A semantically driven Virtual Organisation (VO) model for predicting important events for coral reefs is presented - the Semantic Reef. The model is an application of a Semantic Grid that encapsulates services and resources to produce a complex higher-level knowledge base in order to predict coral bleaching on the Great Barrier Reef. The goal is to enable the synergistic interplay between different e-Research tools to produce a model that can evaluate complex hypotheses. Built on a Grid infrastructure and invoking an ontology to map to currently non-communicative datasets, the Semantic Reef model is designed to address specific scientific problems such as the prediction of coral bleaching events. The outcome is not only a model for exploring a diverse range of e-Research challenges, but also potentially a re-usable interoperable knowledge base can then be accessed as a resource in other VOs.