Supporting model reuse in organic reaction simulation: towards the compositional modelling approach

Model formulation and model reuse are among the challenges in the field of qualitative reasoning research. In organic reactions, there are many task-level chemical processes. Identifying the generic ones can help promote model reuse in a qualitative simulation environment. This paper describes an ap...

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Main Authors: Tang, A.Y.C., Zain, Sharifuddin Md
Format: Article
Published: 2012
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Online Access:http://eprints.um.edu.my/6100/
http://cisjournal.org/journalofcomputing/Download_March_pdf_1.aspx
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spelling my.um.eprints.61002019-10-25T09:16:40Z http://eprints.um.edu.my/6100/ Supporting model reuse in organic reaction simulation: towards the compositional modelling approach Tang, A.Y.C. Zain, Sharifuddin Md QD Chemistry Model formulation and model reuse are among the challenges in the field of qualitative reasoning research. In organic reactions, there are many task-level chemical processes. Identifying the generic ones can help promote model reuse in a qualitative simulation environment. This paper describes an approach to automate qualitative models and reuse them for the simulation of a group of organic reactions for learning purposes. In particular, this paper describes how the generic processes are identified and used for the simulation of task-level processes. The generic processes were identified as “make-bond” and “break-bond”. In this work, chemical processes are represented as model fragments using the Qualitative Process Theory (QPT) ontology. The work applied compositional modelling technique to chain model fragments when predicting the final products of organic chemical reactions. 2012 Article PeerReviewed Tang, A.Y.C. and Zain, Sharifuddin Md (2012) Supporting model reuse in organic reaction simulation: towards the compositional modelling approach. Journal of Emerging Trends in Computing and Information Sciences, 3. ISSN 2079-8407 http://cisjournal.org/journalofcomputing/Download_March_pdf_1.aspx
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QD Chemistry
spellingShingle QD Chemistry
Tang, A.Y.C.
Zain, Sharifuddin Md
Supporting model reuse in organic reaction simulation: towards the compositional modelling approach
description Model formulation and model reuse are among the challenges in the field of qualitative reasoning research. In organic reactions, there are many task-level chemical processes. Identifying the generic ones can help promote model reuse in a qualitative simulation environment. This paper describes an approach to automate qualitative models and reuse them for the simulation of a group of organic reactions for learning purposes. In particular, this paper describes how the generic processes are identified and used for the simulation of task-level processes. The generic processes were identified as “make-bond” and “break-bond”. In this work, chemical processes are represented as model fragments using the Qualitative Process Theory (QPT) ontology. The work applied compositional modelling technique to chain model fragments when predicting the final products of organic chemical reactions.
format Article
author Tang, A.Y.C.
Zain, Sharifuddin Md
author_facet Tang, A.Y.C.
Zain, Sharifuddin Md
author_sort Tang, A.Y.C.
title Supporting model reuse in organic reaction simulation: towards the compositional modelling approach
title_short Supporting model reuse in organic reaction simulation: towards the compositional modelling approach
title_full Supporting model reuse in organic reaction simulation: towards the compositional modelling approach
title_fullStr Supporting model reuse in organic reaction simulation: towards the compositional modelling approach
title_full_unstemmed Supporting model reuse in organic reaction simulation: towards the compositional modelling approach
title_sort supporting model reuse in organic reaction simulation: towards the compositional modelling approach
publishDate 2012
url http://eprints.um.edu.my/6100/
http://cisjournal.org/journalofcomputing/Download_March_pdf_1.aspx
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