User-database interface: The effect of abstraction levels on query performance

A common classification of data models is based on their abstraction levels: physical, logical and conceptual. The user-database interaction can be similarly classified. For the conceptual-level interaction, the user and the database exchange information on the user's world, e.g., information o...

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Main Authors: CHAN, Hock Chuan, WEI, Kwok Kee, SIAU, Keng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1993
Subjects:
SQL
Online Access:https://ink.library.smu.edu.sg/sis_research/9662
https://ink.library.smu.edu.sg/context/sis_research/article/10662/viewcontent/User_Database_Interface__The_Effect_of_Abstraction_Levels_on_Query_Performance.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-106622024-11-28T09:26:02Z User-database interface: The effect of abstraction levels on query performance CHAN, Hock Chuan WEI, Kwok Kee SIAU, Keng A common classification of data models is based on their abstraction levels: physical, logical and conceptual. The user-database interaction can be similarly classified. For the conceptual-level interaction, the user and the database exchange information on the user's world, e.g., information of entities, relationships, and attributes. For the logical-level interaction, the user and the database communicate based on concepts in the database system, e.g., relations and join operations. We expect users to be familiar with concepts in their world but not the concepts in the database system. This is especially so for infrequent or naive database users. The conceptual level should therefore be easier because it is semantically closer to the user. This deduction was tested in an experiment using the entity-relationship (ER) model for the conceptual-level model and the relational model for the logical-level model. The results were affirmative. The users at the conceptual level had 38 percent higher accuracy and 16 percent higher confidence than users at the logical level. The conceptual-level users took 65 percent less time than the logical-level users, and it took 33 percent less time to train them. The differences were statistically significant with p 1993-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9662 info:doi/10.2307/249587 https://ink.library.smu.edu.sg/context/sis_research/article/10662/viewcontent/User_Database_Interface__The_Effect_of_Abstraction_Levels_on_Query_Performance.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 Abstraction levels Conceptual level Data resource utilization Entity-relationship model Experimental study Logical level Query languages Relational model SQL User performance User-database interface Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Abstraction levels
Conceptual level
Data resource utilization
Entity-relationship model
Experimental study
Logical level
Query languages
Relational model
SQL
User performance
User-database interface
Databases and Information Systems
spellingShingle Abstraction levels
Conceptual level
Data resource utilization
Entity-relationship model
Experimental study
Logical level
Query languages
Relational model
SQL
User performance
User-database interface
Databases and Information Systems
CHAN, Hock Chuan
WEI, Kwok Kee
SIAU, Keng
User-database interface: The effect of abstraction levels on query performance
description A common classification of data models is based on their abstraction levels: physical, logical and conceptual. The user-database interaction can be similarly classified. For the conceptual-level interaction, the user and the database exchange information on the user's world, e.g., information of entities, relationships, and attributes. For the logical-level interaction, the user and the database communicate based on concepts in the database system, e.g., relations and join operations. We expect users to be familiar with concepts in their world but not the concepts in the database system. This is especially so for infrequent or naive database users. The conceptual level should therefore be easier because it is semantically closer to the user. This deduction was tested in an experiment using the entity-relationship (ER) model for the conceptual-level model and the relational model for the logical-level model. The results were affirmative. The users at the conceptual level had 38 percent higher accuracy and 16 percent higher confidence than users at the logical level. The conceptual-level users took 65 percent less time than the logical-level users, and it took 33 percent less time to train them. The differences were statistically significant with p
format text
author CHAN, Hock Chuan
WEI, Kwok Kee
SIAU, Keng
author_facet CHAN, Hock Chuan
WEI, Kwok Kee
SIAU, Keng
author_sort CHAN, Hock Chuan
title User-database interface: The effect of abstraction levels on query performance
title_short User-database interface: The effect of abstraction levels on query performance
title_full User-database interface: The effect of abstraction levels on query performance
title_fullStr User-database interface: The effect of abstraction levels on query performance
title_full_unstemmed User-database interface: The effect of abstraction levels on query performance
title_sort user-database interface: the effect of abstraction levels on query performance
publisher Institutional Knowledge at Singapore Management University
publishDate 1993
url https://ink.library.smu.edu.sg/sis_research/9662
https://ink.library.smu.edu.sg/context/sis_research/article/10662/viewcontent/User_Database_Interface__The_Effect_of_Abstraction_Levels_on_Query_Performance.pdf
_version_ 1819113095759396864