PENGUIN: An Intelligent System for Modeling and Sharing Declarative Knowledge Stored in Relational Databases

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Citation: Walter Sujansky and David Zingmond and M. Toshiyuki and Thierry Barsalou. (1992) PENGUIN: An Intelligent System for Modeling and Sharing Declarative Knowledge Stored in Relational Databases. In KSL-92-83, November,1992.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Walter Sujansky and David Zingmond and M. Toshiyuki and Thierry Barsalou
title PENGUIN: An Intelligent System for Modeling and Sharing Declarative Knowledge Stored in Relational Databases
number KSL-92-83
institution Knowledge Systems, AI Laboratory
year 1992
month November
Bibtex more
Access Paper
abstract We describe a system that facilitates the use and sharing of declarative domain knowledge stored in relational databases. The PENGUIN system models domain-dependent relationships among the normalized data elements of a relational schema, and uses these relationships to reconstruct and cache semantically meaningful objects for browsing and updating by users. The methodology has been implemented to provide immunogenetics researchers with easy access to and an intuitive view of encoded knowledge required for planning tasks, while protecting the semantic integrity of the underlying data at the relational level. We discuss the theoretical foundations, the operational features, and the implementation architecture of the system. The significance of this methodology with respect to other approaches is also addressed.

KSL Technical Report ID: KSL-92-83
Facts about PENGUIN: An Intelligent System for Modeling and Sharing Declarative Knowledge Stored in Relational DatabasesRDF feed
Abstract We describe a system that facilitates the … We describe a system that facilitates the use and sharing of declarative domain knowledge stored in relational databases. The PENGUIN system models domain-dependent relationships among the normalized data elements of a relational schema, and uses these relationships to reconstruct and cache semantically meaningful objects for browsing and updating by users. The methodology has been implemented to provide immunogenetics researchers with easy access to and an intuitive view of encoded knowledge required for planning tasks, while protecting the semantic integrity of the underlying data at the relational level. We discuss the theoretical foundations, the operational features, and the implementation architecture of the system. The significance of this methodology with respect to other approaches is also addressed. ect to other approaches is also addressed.
Author Walter Sujansky and David Zingmond and M. Toshiyuki and Thierry Barsalou  +
Bibtype techreport  +
Has author Walter Sujansky and David Zingmond and M. Toshiyuki and Thierry Barsalou  +
Has identifier KSL-92-83  +
Has publishing details November,1992  +
Has title PENGUIN: An Intelligent System for Modeling and Sharing Declarative Knowledge Stored in Relational Databases  +
Has where published KSL-92-83  +
Has year 1992  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-92-83  +
Month November  +
Number KSL-92-83  +
Process note NO  +
Title PENGUIN: An Intelligent System for Modeling and Sharing Declarative Knowledge Stored in Relational Databases  +
Year 1992  +
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