The main idea behind ESSE is a flexible, efficient and easy to use search engine for data mining in environmental data archives. What makes it so different from conventional text-based search engines is that it actually searches inside the numeric datasets. With ESSE scientists will be able to find specific parameter values, conditions, and scenarios among the huge amount of available environmental data. ESSE will help you find useful data even if you don’t know exactly what you are looking for.
By using its fuzzy logic capabilities you can construct complex queries using vague linguistic terms, such as "very large" or "average", or set fuzzy numeric thresholds (for example, "about 100"). If you are an experienced researcher you can still use exact parameter values in your queries. ESSE uses Common Data Model for internal data representation, thus acting as a bridge between the user and the multiple heterogeneous data sources.
Cross Posted from Dan Fay’s Blog (http://blogs.msdn.com/dan_fay)