eScience

Science has fully entered a new mode of operation. E-science, defined as a combination of science, informatics, computer science, cyberinfrastructure and information technology is changing the way all of these disciplines do both their individual and collaborative work.


What has been lacking, until recently, is a successful method to develop, implement and sustain informatics solutions to modern application problems, such as environmental and climate assessments, that provide interoperability among very diverse and heterogeneous data and information sources, as

Data integration across multiple disciplines is a key requirement for virtual observatories. We have designed and implemented a virtual observatory for the areas of solar, solar-terrestrial, and space physics that leverages semantic technologies.

We have used semantic technologies to design, implement, and deploy an interdisciplinary virtual observatory. The Virtual Solar-Terrestrial Observatory is a production data framework providing access to observational datasets.

We present a research effort into the application of semantic web methods and technologies to address the challenging problem of integrating heterogeneous volcanic and atmospheric data in support of assessing the atmospheric effects of a volcanic eruption.

We present our work on semantically-enabled data and schema registration in the setting of a scientific data integration project: SESDI (Semantically-Enabled Scientific Data Integration), which aims initially to integrate heterogeneous volcanic and atmospheric chemical compound data in support of

A challenge in providing scientific data services to a broad user base is to also provide the metadata services and tools the user base needs to correctly interpret and trust the provided data.

We have developed a semantic data framework that supports interdisciplinary virtual observatory projects across the fields of solar physics, space physics and solar-terrestrial physics.