Field Data Management: Integrating Cyberscience and Geoscience

Integrating Geoscience Ontologies with Dolce

Cross-disciplinary e-Science can be enabled by using foundational ontologies such as Dolce to integrate knowledge representations from different geoscience domains. G eoscientists are increasingly concerned with big problems related to climate change, natural hazards, and environmental health. In solving these problems, they're regularly encountering data and knowledge that are complex, diverse...

DOLCE ROCKS: Integrating Geoscience Ontologies with DOLCE

Conceptual representations are being developed within many geoscience domains to aid semantic-enabled scientific computing, e.g. geology, geophysics, hydrology, marine science, planetary science. These representations often make different ontological assumptions, causing their integration to be impeded. This is particularly problematic for science issues that involve crossdomain knowledge, such...

A Data Management Framework for Urgent Geoscience Workflows

The emerging class of urgent geoscience workflows are capable of quickly allocating computational resources for time critical tasks. To date, no urgent computing capabilities for data services exists. Since urgent geoscience and Earth science workflows are typically data intensive, urgent data services are necessary so that these urgent workflows do not bottleneck on inappropriately managed or ...

The Genesis of Cyberscience and Its Mathematical Models (cyberscience)

From 3d geomodelling systems towards 3d geoscience information systems: Data model, query functionality, and data management

Two-dimensional GIS are extensively used in geology to create, analyse, and interpret geological map models. However, these systems are unable to represent the Earth’s subsurface in three spatial dimensions. The objective of this article is to overcome this deficiency and to provide a general framework for a 3d GIS. The presented approach is based on existing 3d geomodelling theory and software...