A graphical knowledge level approach for user-database interaction

The authors propose a novel user interface, the Graphical Knowledge Level interface, for user-database interaction. This interface addresses two of the current research problems: the semantic inadequacy of the relational model and the logical data dependence of the relational languages. The interfac...

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Main Authors: TAN, K., CHAN, H., SIAU, Keng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1990
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Online Access:https://ink.library.smu.edu.sg/sis_research/9676
https://ink.library.smu.edu.sg/context/sis_research/article/10676/viewcontent/00139408.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-106762024-11-28T09:15:11Z A graphical knowledge level approach for user-database interaction TAN, K. CHAN, H. SIAU, Keng The authors propose a novel user interface, the Graphical Knowledge Level interface, for user-database interaction. This interface addresses two of the current research problems: the semantic inadequacy of the relational model and the logical data dependence of the relational languages. The interface is more user-friendly than the SOL interface and the Universal Relation interface, as it employs the graphical approach. The semantic inadequacy problem is alleviated by using an enhanced entity-relationship model. This data model includes abstraction concepts such as aggregation, generalization, and categorization. A formal, high-level Graphical Knowledge Level Query Language, GKQL, which provides for both logical and physical data independence has also been designed. 1990-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9676 https://ink.library.smu.edu.sg/context/sis_research/article/10676/viewcontent/00139408.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Graphics and Human Computer Interfaces
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Graphics and Human Computer Interfaces
spellingShingle Databases and Information Systems
Graphics and Human Computer Interfaces
TAN, K.
CHAN, H.
SIAU, Keng
A graphical knowledge level approach for user-database interaction
description The authors propose a novel user interface, the Graphical Knowledge Level interface, for user-database interaction. This interface addresses two of the current research problems: the semantic inadequacy of the relational model and the logical data dependence of the relational languages. The interface is more user-friendly than the SOL interface and the Universal Relation interface, as it employs the graphical approach. The semantic inadequacy problem is alleviated by using an enhanced entity-relationship model. This data model includes abstraction concepts such as aggregation, generalization, and categorization. A formal, high-level Graphical Knowledge Level Query Language, GKQL, which provides for both logical and physical data independence has also been designed.
format text
author TAN, K.
CHAN, H.
SIAU, Keng
author_facet TAN, K.
CHAN, H.
SIAU, Keng
author_sort TAN, K.
title A graphical knowledge level approach for user-database interaction
title_short A graphical knowledge level approach for user-database interaction
title_full A graphical knowledge level approach for user-database interaction
title_fullStr A graphical knowledge level approach for user-database interaction
title_full_unstemmed A graphical knowledge level approach for user-database interaction
title_sort graphical knowledge level approach for user-database interaction
publisher Institutional Knowledge at Singapore Management University
publishDate 1990
url https://ink.library.smu.edu.sg/sis_research/9676
https://ink.library.smu.edu.sg/context/sis_research/article/10676/viewcontent/00139408.pdf
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