Visual knowledge query language as a front-end to relational systems

Visual knowledge query language as a front-end to relational systems

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 pape...

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Bibliographic Details
Main Authors: SIAU, Keng, TAN, Kok Phuang, CHAN, Hock Chuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1991
Subjects:
Database structures
Entity-relationship
Knowledge abstraction
Relational query languages
Relational systems
Semantic data model
Storage structures
Translation algorithms
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/9465
https://ink.library.smu.edu.sg/context/sis_research/article/10465/viewcontent/00170205.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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

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