Changing the Equation on Scientific Data Visualization

An essential facet of the data deluge is the need for different types of users to apply visualizations to understand how data analyses and queries relate to each other. Unfortunately, visualization too often becomes an end product of scientific analysis, rather than an exploration tool that scientists can use throughout the research life cycle. However, new database technologies, coupled with emerging Web-based technologies, may hold the key to lowering the cost of visualization generation and allow it to become a more integral part of the scientific process.

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The goals of this effort is to design and implement a configurable and extensible semantic eScience framework. Configuration will require some research into accommodating different levels of semantic expressivity and user requirements from use cases. Extensibility will be achieved in a modular approach to the semantic encodings (i.e. ontologies) performed in a community setting, i.e. an ontology framework into which specific applications all the way up to communities can extend the semantics for their needs.

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