Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development

Mohd Syazwan Abdullah; Richard F. Paige; Ian D. Benest; Chris Kimble; Ilias Maglogiannis; Kostas Karpouzis; Manolis Wallace; John Soldatos

Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development

Mohd Syazwan Abdullah, Richard F. Paige, Ian D. Benest, Chris Kimble, Ilias Maglogiannis (Editor), Kostas Karpouzis (Editor), Manolis Wallace (Editor), John Soldatos (Editor)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Knowledge modelling techniques are widely adopted for designing knowledge-based systems (KBS) used for managing knowledge. This chapter discusses conceptual modelling of KBS in the context of model-driven engineering using standardised conceptual modeling language. An extension to the Unified Modeling Language (UML) for knowledge modelling is presented based on the profiling extension mechanism of UML. The UML profile discussed in this chapter has been successfully captured in a Meta-Object-Facility (MOF) based UML tool --the eXecutable Modelling Framework (XMF) Mosaic. The Ulcer Clinical Practical Guidelines (CPG) Recommendations case study demonstrates the use of the profile, with the prototype system implemented in the Java Expert System Shell (JESS).

Original language	Undefined/Unknown
Title of host publication	Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	74-89
Number of pages	16
Volume	160
ISBN (Electronic)	978-1-58603-780-2
ISBN (Print)	978-1-58603-780-2
Publication status	Published - 2007

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Publisher	IOS Press

Access to Document

http://portal.acm.org/citation.cfm?id=1566776

Cite this

Abdullah, M. S., Paige, R. F., Benest, I. D., Kimble, C., Maglogiannis, I. (Ed.), Karpouzis, K. (Ed.), Wallace, M. (Ed.), & Soldatos, J. (Ed.) (2007). Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development. In Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies (Vol. 160, pp. 74-89). (Frontiers in Artificial Intelligence and Applications). IOS Press. http://portal.acm.org/citation.cfm?id=1566776

Abdullah, Mohd Syazwan ; Paige, Richard F. ; Benest, Ian D. et al. / Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development. Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies. Vol. 160 Amsterdam : IOS Press, 2007. pp. 74-89 (Frontiers in Artificial Intelligence and Applications).

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title = "Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development",

abstract = "Knowledge modelling techniques are widely adopted for designing knowledge-based systems (KBS) used for managing knowledge. This chapter discusses conceptual modelling of KBS in the context of model-driven engineering using standardised conceptual modeling language. An extension to the Unified Modeling Language (UML) for knowledge modelling is presented based on the profiling extension mechanism of UML. The UML profile discussed in this chapter has been successfully captured in a Meta-Object-Facility (MOF) based UML tool --the eXecutable Modelling Framework (XMF) Mosaic. The Ulcer Clinical Practical Guidelines (CPG) Recommendations case study demonstrates the use of the profile, with the prototype system implemented in the Java Expert System Shell (JESS).",

author = "Abdullah, {Mohd Syazwan} and Paige, {Richard F.} and Benest, {Ian D.} and Chris Kimble and Ilias Maglogiannis and Kostas Karpouzis and Manolis Wallace and John Soldatos",

year = "2007",

language = "Undefined/Unknown",

isbn = "978-1-58603-780-2 ",

volume = "160",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "74--89",

booktitle = "Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies",

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Abdullah, MS, Paige, RF , Benest, ID, Kimble, C, Maglogiannis, I (ed.), Karpouzis, K (ed.), Wallace, M (ed.) & Soldatos, J (ed.) 2007, Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development. in Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies. vol. 160, Frontiers in Artificial Intelligence and Applications, IOS Press, Amsterdam, pp. 74-89. <http://portal.acm.org/citation.cfm?id=1566776>

Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development. / Abdullah, Mohd Syazwan; Paige, Richard F.; Benest, Ian D. et al.
Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies. Vol. 160 Amsterdam: IOS Press, 2007. p. 74-89 (Frontiers in Artificial Intelligence and Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development

AU - Abdullah, Mohd Syazwan

AU - Paige, Richard F.

AU - Benest, Ian D.

AU - Kimble, Chris

A2 - Maglogiannis, Ilias

A2 - Karpouzis, Kostas

A2 - Wallace, Manolis

A2 - Soldatos, John

PY - 2007

Y1 - 2007

N2 - Knowledge modelling techniques are widely adopted for designing knowledge-based systems (KBS) used for managing knowledge. This chapter discusses conceptual modelling of KBS in the context of model-driven engineering using standardised conceptual modeling language. An extension to the Unified Modeling Language (UML) for knowledge modelling is presented based on the profiling extension mechanism of UML. The UML profile discussed in this chapter has been successfully captured in a Meta-Object-Facility (MOF) based UML tool --the eXecutable Modelling Framework (XMF) Mosaic. The Ulcer Clinical Practical Guidelines (CPG) Recommendations case study demonstrates the use of the profile, with the prototype system implemented in the Java Expert System Shell (JESS).

AB - Knowledge modelling techniques are widely adopted for designing knowledge-based systems (KBS) used for managing knowledge. This chapter discusses conceptual modelling of KBS in the context of model-driven engineering using standardised conceptual modeling language. An extension to the Unified Modeling Language (UML) for knowledge modelling is presented based on the profiling extension mechanism of UML. The UML profile discussed in this chapter has been successfully captured in a Meta-Object-Facility (MOF) based UML tool --the eXecutable Modelling Framework (XMF) Mosaic. The Ulcer Clinical Practical Guidelines (CPG) Recommendations case study demonstrates the use of the profile, with the prototype system implemented in the Java Expert System Shell (JESS).

M3 - Conference contribution

SN - 978-1-58603-780-2

VL - 160

T3 - Frontiers in Artificial Intelligence and Applications

SP - 74

EP - 89

BT - Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies

PB - IOS Press

CY - Amsterdam

ER -

Abdullah MS, Paige RF , Benest ID, Kimble C, Maglogiannis I, (ed.), Karpouzis K, (ed.) et al. Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development. In Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies. Vol. 160. Amsterdam: IOS Press. 2007. p. 74-89. (Frontiers in Artificial Intelligence and Applications).