Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

9-1991

Abstract

Relational query languages like SQL and QUEL require the users to understand the complex database structure. This is a burden on end users, especially novice end users who access the database on a casual and infrequent basis. To alleviate the need to know the logical database organization, this paper proposes the use of a semantic data model, known as the Enhanced Entity-Relationship (EER) model, as a front-end to the relational systems. A formal, high-level Visual Knowledge Query Language (VKQL) has also been designed for this interface. This language provides for knowledge abstraction as the user communicates only domain knowledge with the system without any implication on the storage structure or search strategies. A translation algorithm is also described in this paper to translate VKQL queries to Standard SQL equivalents.

Keywords

Database structures, Entity-relationship, Knowledge abstraction, Relational query languages, Relational systems, Semantic data model, Storage structures, Translation algorithms

Discipline

Databases and Information Systems | Theory and Algorithms

Research Areas

Data Science and Engineering; Information Systems and Management

Publication

Proceedings of the 15th Annual International Computer Software and Applications Conference, Tokyo, Japan, 1991 September 11-13

First Page

373

Last Page

378

ISBN

0818621524

Identifier

10.1109/CMPSAC.1991.170205

Publisher

IEEE

City or Country

New Jersey

Additional URL

https://doi.org/10.1109/CMPSAC.1991.170205

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