QRIOM

A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions

Yee Chong Tang, Sharifuddin Mohd Zain, Noorsaadah Abdul Rahman, Rukaini Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The work discusses the application of an Artificial Intelligence technique called Qualitative Reasoning (QR) and a process-based ontology in constructing qualitative models for organic reaction simulation. We present a framework architecture that uses the QPT ontology as the knowledge representation scheme to model the behaviors of a number of organic reactions. The main focus of this paper placed on the design of two main components (model constructor and reasoning engine) for a tool abbreviated as QRIOM for predicting and explaining organic reactions. The discussion starts by presenting the workflow of the reasoning process and the automated model construction logic. We then move on to demonstrate how the constructed models can be used to re produce the behavior of organic reactions. Finally, behavioral explanation manifestation is discussed. The simulator is implemented in bi lingual; Prolog is at the backend supplying data and chemical theories while Java handles all front-end GUI and molecular pattern updating.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
DOIs
Publication statusPublished - 12 Dec 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia
Duration: 26 Aug 200829 Aug 2008

Publication series

NameProceedings - International Symposium on Information Technology 2008, ITSim
Volume4

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CountryMalaysia
CityKuala Lumpur
Period26/08/0829/08/08

Fingerprint

Simulators
Ontology
Knowledge representation
Graphical user interfaces
Artificial intelligence
Engines

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Tang, Y. C., Zain, S. M., Rahman, N. A., & Abdullah, R. (2008). QRIOM: A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions. In Proceedings - International Symposium on Information Technology 2008, ITSim [4631972] (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 4). https://doi.org/10.1109/ITSIM.2008.4631972
Tang, Yee Chong ; Zain, Sharifuddin Mohd ; Rahman, Noorsaadah Abdul ; Abdullah, Rukaini. / QRIOM : A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions. Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. (Proceedings - International Symposium on Information Technology 2008, ITSim).
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Tang, YC, Zain, SM, Rahman, NA & Abdullah, R 2008, QRIOM: A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions. in Proceedings - International Symposium on Information Technology 2008, ITSim., 4631972, Proceedings - International Symposium on Information Technology 2008, ITSim, vol. 4, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, Malaysia, 26/08/08. https://doi.org/10.1109/ITSIM.2008.4631972

QRIOM : A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions. / Tang, Yee Chong; Zain, Sharifuddin Mohd; Rahman, Noorsaadah Abdul; Abdullah, Rukaini.

Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. 4631972 (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Tang YC, Zain SM, Rahman NA, Abdullah R. QRIOM: A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions. In Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. 4631972. (Proceedings - International Symposium on Information Technology 2008, ITSim). https://doi.org/10.1109/ITSIM.2008.4631972