Deriving causal explanation from qualitative model reasoning

Yee Chong Tang, Sharifuddin M. Zain, Noorsaadah A. Rahman, Rukaini Abdullah

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper discusses a qualitative simulator QRiOM that uses Qualitative Reasoning (QR) technique, and a process-based ontology to model, simulate and explain the behaviour of selected organic reactions. Learning organic reactions requires the application of domain knowledge at intuitive level, which is difficult to be programmed using traditional approach. The main objective of QRiOM is to help learners gain a better understanding of the fundamental organic reaction concepts, and to improve their conceptual comprehension on the subject by analyzing the multiple forms of explanation generated by the software. This paper focuses on the generation of explanation based on causal theories to explicate various phenomena in the chemistry subject. QRiOM has been tested with three classes problems related to organic chemistry, with encouraging results. This paper also presents the results of preliminary evaluation of QRiOM that reveal its explanation capability and usefulness.

Original languageEnglish
Pages (from-to)29-36
Number of pages8
JournalWorld Academy of Science, Engineering and Technology
Volume59
Publication statusPublished - 01 Nov 2009

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Ontology
Simulators
Organic Chemistry

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Tang, Yee Chong ; Zain, Sharifuddin M. ; Rahman, Noorsaadah A. ; Abdullah, Rukaini. / Deriving causal explanation from qualitative model reasoning. In: World Academy of Science, Engineering and Technology. 2009 ; Vol. 59. pp. 29-36.
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Deriving causal explanation from qualitative model reasoning. / Tang, Yee Chong; Zain, Sharifuddin M.; Rahman, Noorsaadah A.; Abdullah, Rukaini.

In: World Academy of Science, Engineering and Technology, Vol. 59, 01.11.2009, p. 29-36.

Research output: Contribution to journalArticle

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