Relational query languages like SQL and QUEL require the users to understand the complex detabase 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 origanization, 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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Keng Leng SIAU, Hock Chuan CHAN, Kok Phuang TAN, "Visual Knowledge Query Language" in IEICE TRANSACTIONS on Information,
vol. E75-D, no. 5, pp. 697-703, September 1992, doi: .
Abstract: Relational query languages like SQL and QUEL require the users to understand the complex detabase 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 origanization, 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/e75-d_5_697/_p
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@ARTICLE{e75-d_5_697,
author={Keng Leng SIAU, Hock Chuan CHAN, Kok Phuang TAN, },
journal={IEICE TRANSACTIONS on Information},
title={Visual Knowledge Query Language},
year={1992},
volume={E75-D},
number={5},
pages={697-703},
abstract={Relational query languages like SQL and QUEL require the users to understand the complex detabase 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 origanization, 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={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Visual Knowledge Query Language
T2 - IEICE TRANSACTIONS on Information
SP - 697
EP - 703
AU - Keng Leng SIAU
AU - Hock Chuan CHAN
AU - Kok Phuang TAN
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E75-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - September 1992
AB - Relational query languages like SQL and QUEL require the users to understand the complex detabase 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 origanization, 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.
ER -