Intelligent Database Design Diagnosis: Performance Assessment with the Provision of Domain Knowledge

Shahrul Azman Mohd Noah, Michael D. Williams

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Techniques for representing and exploiting domain knowledge (such as the dictionary, thesaurus and knowledge reconciliation techniques) have long been used by intelligent database design tools when performing the task of design synthesis. However, the capacity of these techniques to enhance the diagnostic capabilities of intelligent database design tools has yet to be explored and evaluated. This paper presents such an evaluation, focusing upon the aforementioned techniques of dictionary, thesaurus and knowledge reconciliation. Results obtained from this investigation suggest that use of these techniques has the potential to increase the diagnostic capabilities of intelligent database design tools by facilitating detection and resolution of design inconsistencies that would remain undiscovered in situations where such system-held domain knowledge was not available.

Original languageEnglish
Pages (from-to)57-84+1
JournalArtificial Intelligence Review
Volume21
Issue number1
DOIs
Publication statusPublished - Mar 2004

Fingerprint

performance assessment
thesaurus
reconciliation
dictionary
diagnostic
Thesauri
knowledge
Glossaries
evaluation
Intelligent databases
Performance Assessment
Data Base
Diagnostics
Reconciliation
Thesaurus
Dictionary

Keywords

  • Conceptual modelling
  • Database design
  • Design diagnosis
  • Intelligent system
  • Knowledge representation
  • Testing and evaluation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Intelligent Database Design Diagnosis : Performance Assessment with the Provision of Domain Knowledge. / Mohd Noah, Shahrul Azman; Williams, Michael D.

In: Artificial Intelligence Review, Vol. 21, No. 1, 03.2004, p. 57-84+1.

Research output: Contribution to journalArticle

@article{d5ff82aa7f804f3db048b5b38c04d3de,
title = "Intelligent Database Design Diagnosis: Performance Assessment with the Provision of Domain Knowledge",
abstract = "Techniques for representing and exploiting domain knowledge (such as the dictionary, thesaurus and knowledge reconciliation techniques) have long been used by intelligent database design tools when performing the task of design synthesis. However, the capacity of these techniques to enhance the diagnostic capabilities of intelligent database design tools has yet to be explored and evaluated. This paper presents such an evaluation, focusing upon the aforementioned techniques of dictionary, thesaurus and knowledge reconciliation. Results obtained from this investigation suggest that use of these techniques has the potential to increase the diagnostic capabilities of intelligent database design tools by facilitating detection and resolution of design inconsistencies that would remain undiscovered in situations where such system-held domain knowledge was not available.",
keywords = "Conceptual modelling, Database design, Design diagnosis, Intelligent system, Knowledge representation, Testing and evaluation",
author = "{Mohd Noah}, {Shahrul Azman} and Williams, {Michael D.}",
year = "2004",
month = "3",
doi = "10.1023/B:AIRE.0000007390.82370.31",
language = "English",
volume = "21",
pages = "57--84+1",
journal = "Artificial Intelligence Review",
issn = "0269-2821",
publisher = "Springer Netherlands",
number = "1",

}

TY - JOUR

T1 - Intelligent Database Design Diagnosis

T2 - Performance Assessment with the Provision of Domain Knowledge

AU - Mohd Noah, Shahrul Azman

AU - Williams, Michael D.

PY - 2004/3

Y1 - 2004/3

N2 - Techniques for representing and exploiting domain knowledge (such as the dictionary, thesaurus and knowledge reconciliation techniques) have long been used by intelligent database design tools when performing the task of design synthesis. However, the capacity of these techniques to enhance the diagnostic capabilities of intelligent database design tools has yet to be explored and evaluated. This paper presents such an evaluation, focusing upon the aforementioned techniques of dictionary, thesaurus and knowledge reconciliation. Results obtained from this investigation suggest that use of these techniques has the potential to increase the diagnostic capabilities of intelligent database design tools by facilitating detection and resolution of design inconsistencies that would remain undiscovered in situations where such system-held domain knowledge was not available.

AB - Techniques for representing and exploiting domain knowledge (such as the dictionary, thesaurus and knowledge reconciliation techniques) have long been used by intelligent database design tools when performing the task of design synthesis. However, the capacity of these techniques to enhance the diagnostic capabilities of intelligent database design tools has yet to be explored and evaluated. This paper presents such an evaluation, focusing upon the aforementioned techniques of dictionary, thesaurus and knowledge reconciliation. Results obtained from this investigation suggest that use of these techniques has the potential to increase the diagnostic capabilities of intelligent database design tools by facilitating detection and resolution of design inconsistencies that would remain undiscovered in situations where such system-held domain knowledge was not available.

KW - Conceptual modelling

KW - Database design

KW - Design diagnosis

KW - Intelligent system

KW - Knowledge representation

KW - Testing and evaluation

UR - http://www.scopus.com/inward/record.url?scp=0942277390&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0942277390&partnerID=8YFLogxK

U2 - 10.1023/B:AIRE.0000007390.82370.31

DO - 10.1023/B:AIRE.0000007390.82370.31

M3 - Article

AN - SCOPUS:0942277390

VL - 21

SP - 57-84+1

JO - Artificial Intelligence Review

JF - Artificial Intelligence Review

SN - 0269-2821

IS - 1

ER -