Infusing semantic web into operational data systems: real application experience

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Presented at the AGU Fall Meeting 2008


As part of our semantic data framework activities across disciplines from solid-earth, lower, middle and upper terrestrial atmosphere, and solar atmosphere, to integrative subjects such as climate response and space weather, we have collected a set of experiences: technical, collaboration and social that relate to how easy, or hard the infusion process has been. We cover both the semantic web and knowledge infusion as well as underlying service infusion such as catalogs and OPeNDAP data servers.


DateCreated ByLink
August 17, 2014
Patrick WestDownload

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Description: Tasks for various TWC projects related to data access and the OPeNDAP software products.

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Data Science
Lead Professor: Peter Fox
Description: Science has fully entered a new mode of operation. Data science is advancing inductive conduct of science driven by the greater volumes, complexity and heterogeneity of data being made available over the Internet. Data science combines of aspects of data management, library science, computer science, and physical science using supporting cyberinfrastructure and information technology. As such it is changing the way all of these disciplines do both their individual and collaborative work.

Data science is helping scienists face new global problems of a magnitude, complexity and interdisciplinary nature whose progress is presently limited by lack of available tools and a fully trained and agile workforce.

At present, there is a lack formal training in the key cognitive and skill areas that would enable graduates to become key participants in escience collaborations. The need is to teach key methodologies in application areas based on real research experience and build a skill-set.

At the heart of this new way of doing science, especially experimental and observational science but also increasingly computational science, is the generation of data.

Concepts: eScience
Lead Professor: Peter Fox
Description: In the last 2-3 years, Informatics has attained greater visibility across a broad range of disciplines, especially in light of great successes in bio- and biomedical-informatics and significant challenges in the explosion of data and information resources. Xinformatics is intended to provide both the common informatics knowledge as well as how it is implemented in specific disciplines, e.g. X=astro, geo, chem, etc. Informatics' theoretical basis arises from information science, cognitive science, social science, library science as well as computer science. As such, it aggregates these studies and adds both the practice of information processing, and the engineering of information systems.
Concepts: , eScience