An ontology-based reasoning framework for reaction mechanisms simulation

Alicia Tang, Y. and Zain, S. and Abdul Rahman, N. and Abdullah, R. (2007) An ontology-based reasoning framework for reaction mechanisms simulation. Knowledge Science, Engineering and Management. pp. 18-29.

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Abstract

Many chemistry students have difficulty in understanding an organic chemistry subject called reaction mechanisms. Mastering the subject would require the application of chemical intuition and chemical commonsense adequately. This work discusses a novel framework using Qualitative Reasoning (QR) to provide means for learning reaction mechanisms through simulation. The framework consists of a number of functional components. These include substrate recognizer, qualitative model constructor, prediction engine, molecule update routine, explanation generator, and a knowledge base containing essential chemical facts and chemical theories. Chemical processes are represented as qualitative models using Qualitative Process Theory (QPT) ontology. The construction of these models is automated based on a set of QR algorithms. We have tested the framework on the S N 1 and the S N 2 reaction mechanisms. Representative cases of reaction simulation and causal explanation are also included to demonstrate how these models can serve as a cognitive tool fostering the acquisition of conceptual understanding via qualitative simulation.

Item Type:	Article
Funders:	UNSPECIFIED
Uncontrolled Keywords:	Qualitative reasoning, reaction mechanisms, QPT, ontology
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User:	Ms Maisarah Mohd Muksin
Date Deposited:	18 Mar 2013 03:41
Last Modified:	18 Mar 2013 03:41
URI:	http://eprints.um.edu.my/id/eprint/5128

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