ToolMatch

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Research Areas: Semantic eScience, Data Science
Principal Investigator:
Co Investigator:
Concepts: Data Science, Data Visualization, eScience, Rule Modeling, Linked Data, OPeNDAP, Information Model, Use Cases
Description:
For a given dataset, it is difficult to find the tools that can be used to work with the dataset. In many cases, the information that Tool A works with Dataset B is somewhere on the Web, but not in a readily identifiable or discoverable form. In other cases, particularly more generalized tools, the information does not exist at all, until somebody tries to use the tool on a given dataset.

Thus, the simplest, most prevalent use case is for a user to search for the tools that can be used with a given dataset. A further refinement would be to specify what the tool can do with the dataset, e.g., read, visualize, map, analyze, reformat.


Sponsors:

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