Supporting coral reef ecosystems research through modelling re-usable ontologies

Conference Publication ResearchOnline@JCU
Myers, Trina S.;Atkinson, Ian;Johnstone, Ron
Abstract

The Semantic Reef project is an eco-informatics application that endeavours to combine multiple environmental datasets to test ecological hypotheses and derive information about environmental systems. The intention is to develop an automated data processing, problem-solving and knowledge discovery system to better understand and manage coral reef ecosystems. Remote environmental monitoring (including sensor networks) is being widely investigated and deployed for collecting real-time data across widely distributed areas. As the volume of raw data increases, it is envisaged that bottlenecks will develop in the data analysis phases, where current data processing procedures still involve manual manipulation that will soon become unfeasible to manage. This 'data deluge' is being addressed in research communities, such as the Semantic Web and Knowledge Representation fields, through the development of the technologies and the use-case implementations such as described here. In an e-Research approach, highly diverse backgrounds and expertise were combined effectively to answer domain and locality specific hypotheses, such as coral bleaching, highlighting the value of a collaborative approach. A set of re-usable ontologies, ranging from light to heavyweight, has been developed as separate components within the Knowledge Representation (KR) system, generically modelling a reef ecosystem. The ontology design aims to leverage the scalable characteristics of Semantic technologies, allowing for flexibility when posing hypotheses and support for future modifications to the domain due to new discoveries.

Journal

Conferences in research and practice in information technology

Publication Name

KROW 2008: Knowledge Representation Ontology Workshop

Volume

90

ISBN/ISSN

1445-1336

Edition

N/A

Issue

N/A

Pages Count

9

Location

Sydney, NSW, Australia

Publisher

Australian Computer Society

Publisher Url

N/A

Publisher Location

Sydney, NSW, Australia

Publish Date

N/A

Url

N/A

Date

N/A

EISSN

N/A

DOI

N/A