What can the Semantic Grid do for Science and Engineering?

Scientists and Engineers have been happily performing research and Analyses for hundreds of years without the Semantic Grid. WhatA¢â‚¬â„¢s changing in their world now that would motivate them to look to the Semantic Grid? Which of their problems can it solve? And how can we recognize the low-hanging fruit A¢â‚¬â€œ the combinations of communities and issues where introducing the Semantic grid now will create the most scientific value? Traditional science is being done A¢â‚¬EœfasterA¢â‚¬â„¢ and community-level discovery-based science and systems approaches are emerging. Semantic Grid technologies can provide a critical capability to reuse data, software, and services while evolving the underlying grid and science models involved. While not often mentioned by name, SG technologies A¢â‚¬â€œ exposing and reasoning over model-level descriptions of resources within and on the Grid A¢â‚¬â€œ are directly relevant to problems of managing large amounts of heterogeneous data in a fluid scientific and technological environment. This presentation will attempt to map between language of science and that of grids and the semantic web to identify use cases where deploying a A¢â‚¬EœSemantic GridA¢â‚¬â„¢ could have significant scientific value.