A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
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Knowledge Representation and Reasoning
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Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
A knowledge environment for the biodiversity and ecological sciences
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Question Answering on the Semantic Web
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Ontology Engineering --- The DOGMA Approach
Advances in Web Semantics I
Future Generation Computer Systems
OpenRuleBench: an analysis of the performance of rule engines
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Journal of Artificial Intelligence Research
SUPPORTING CORAL REEF ECOSYSTEMS RESEARCH THROUGH MODELLING A REUSABLE ONTOLOGY FRAMEWORK
Applied Artificial Intelligence - Knowledge Representation and Ontology Research
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RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
e-Science and the semantic web: a symbiotic relationship
DS'06 Proceedings of the 9th international conference on Discovery Science
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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There is a demand for new and evolved research practices resulting from the so called ''data deluge'' emerging from high volume digital collection methods. As the volume of raw data increases traditional data processing methodologies, especially those involving manual manipulation are becoming increasingly difficult to manage. This paper presents the ''Semantic Reef'' architecture that offers an alternative approach to the development, application and execution of observational hypotheses involving studies of coral reef ecosystems. The Semantic Reef Knowledge Representation system is an eco-informatics application designed to assist in the integration of remotely sensed data streams and historic data sets supporting flexible hypothesis design and knowledge extraction. The system is an ontology-based architecture built to allow researchers to combine disjoint data sets into a single Knowledge Base for modelling the impact of climate change on coral reef ecosystems. The Knowledge Base consists of a hierarchy of ontologies developed to maximise usability and reusability by separating data instances from the concept descriptions. The model can be effectively reused to extract or disclose phenomena of any coral reef. This paper both demonstrates and describes a performance analysis of the Semantic Reef knowledge system.