Marius O. Poliac

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We describe the design principles and functionality of a visual query language called SeeQL that represents data retrieval and analysis operations as a data-ow graph. A query is viewed as a sequence of re-lational algebra and other data transformation operations applied to database tables. The language is well-suited for large-scale scientiic database(More)
AGNESS is an expert system shell developed at the University of Minnesota. AGNESS is more general than other shells. It uses a computation network to represent expert defined rules, and can handle any well-defined inference method. The system works with non-numeric as well as numeric data, and shares constructs whenever possible to achieve increased storage(More)
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