The relative importance of structural constraints and surface semantics in information modeling

This paper describes an experiment designed to investigate the use of structural constraints and surface semantics by modeling experts. The experimental results indicated that when interpreting information models, modeling experts focused almost entirely on the structural constraints, and ignored th...

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Main Authors:	SIAU, Keng, WAND, Yair, BENBASAT, Izak
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 1997
Subjects:	Databases and Information Systems Numerical Analysis and Scientific Computing
Online Access:	https://ink.library.smu.edu.sg/sis_research/9437
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-10437
record_format	dspace
spelling	sg-smu-ink.sis_research-104372024-10-24T09:48:03Z The relative importance of structural constraints and surface semantics in information modeling SIAU, Keng WAND, Yair BENBASAT, Izak This paper describes an experiment designed to investigate the use of structural constraints and surface semantics by modeling experts. The experimental results indicated that when interpreting information models, modeling experts focused almost entirely on the structural constraints, and ignored the surface semantics, even in situations where the structural constraints were in contradiction to the real world situation. These biases exhibited by modeling experts are explained using the learning model in cognitive psychology. 1997-05-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/9437 info:doi/10.1016/S0306-4379(97)00009-4 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
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 Numerical Analysis and Scientific Computing
spellingShingle	Databases and Information Systems Numerical Analysis and Scientific Computing SIAU, Keng WAND, Yair BENBASAT, Izak The relative importance of structural constraints and surface semantics in information modeling
description	This paper describes an experiment designed to investigate the use of structural constraints and surface semantics by modeling experts. The experimental results indicated that when interpreting information models, modeling experts focused almost entirely on the structural constraints, and ignored the surface semantics, even in situations where the structural constraints were in contradiction to the real world situation. These biases exhibited by modeling experts are explained using the learning model in cognitive psychology.
format	text
author	SIAU, Keng WAND, Yair BENBASAT, Izak
author_facet	SIAU, Keng WAND, Yair BENBASAT, Izak
author_sort	SIAU, Keng
title	The relative importance of structural constraints and surface semantics in information modeling
title_short	The relative importance of structural constraints and surface semantics in information modeling
title_full	The relative importance of structural constraints and surface semantics in information modeling
title_fullStr	The relative importance of structural constraints and surface semantics in information modeling
title_full_unstemmed	The relative importance of structural constraints and surface semantics in information modeling
title_sort	relative importance of structural constraints and surface semantics in information modeling
publisher	Institutional Knowledge at Singapore Management University
publishDate	1997
url	https://ink.library.smu.edu.sg/sis_research/9437
_version_	1814047967355600896

The relative importance of structural constraints and surface semantics in information modeling

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