Authors:Stephan Zednik, Greg Leptoukh, Peter Fox, Christopher Lynnes, Patrick West, & Suraiya Ahmad
Concepts:Data Science, Data Visualization, Geophysical Science, Semantic eScience, & eScience
Abstract:




| Date | Created By | Link |
|---|---|---|
| December 4, 2011 23:25:57 | Stephan Zednik | Download |
| December 2, 2011 11:29:06 | Stephan Zednik | Download |




![]() | Multi-Sensor Data Synergy Advisor (MDSA) Research Areas: , Principal Investigator: Peter Fox Sponsor: Advanced Information Systems Technology Description: Augment Giovanni, the Goddard online tool for data access, visualization and analysis, with semantic web technologies and ontologies to support data inter-comparisons from different sensors or models. Concepts: eScience, |




![]() | Data Science Lead Professor: Peter Fox Description: 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 |
![]() | Semantic eScience Lead Professor: Peter Fox Description: As semantic technologies have been gaining momentum in various e-Science areas (for example, W3C's new interest group for semantic web health care and life science), it is important to offer semantic-based methodologies, tools, middleware to facilitate scientific knowledge modeling, logical-based hypothesis checking, semantic data integration and application composition, integrated knowledge discovery and data analyzing for different e-Science applications. Partially influenced by the Artificial Intelligence community, the Semantic Web researchers have largely focused on formal aspects of semantic representation languages or general-purpose semantic application development, with inadequate consideration of requirements from specific science areas. On the other hand, general science researchers are growing ever more dependent on the web, but they have no coherent agenda for exploring the emerging trends on the semantic web technologies. It urgently requires the development of a multi-disciplinary field to foster the growth and development of e-Science applications based on the semantic technologies and related knowledge-based approaches. Concepts: eScience |