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

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dc.citedby0
dc.contributor.authorAlicia Tang Y.C.en_US
dc.contributor.authorZain S.Mohd.en_US
dc.contributor.authorRahman N.A.en_US
dc.contributor.authorAbdullah R.en_US
dc.contributor.authorid36806985400en_US
dc.contributor.authorid55396485200en_US
dc.contributor.authorid22136090800en_US
dc.contributor.authorid56256776800en_US
dc.date.accessioned2023-12-29T07:56:13Z
dc.date.available2023-12-29T07:56:13Z
dc.date.issued2008
dc.description.abstractThe 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. � 2008 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4631972
dc.identifier.doi10.1109/ITSIM.2008.4631972
dc.identifier.scopus2-s2.0-57349124530
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-57349124530&doi=10.1109%2fITSIM.2008.4631972&partnerID=40&md5=40b21c82db76449303ebcea17727b6ff
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30939
dc.identifier.volume4
dc.sourceScopus
dc.sourcetitleProceedings - International Symposium on Information Technology 2008, ITSim
dc.subjectArtificial intelligence
dc.subjectInformation technology
dc.subjectInformation theory
dc.subjectKnowledge based systems
dc.subjectKnowledge representation
dc.subjectOntology
dc.subjectArtificial intelligence techniques
dc.subjectAutomated model constructions
dc.subjectChemical theories
dc.subjectFramework architectures
dc.subjectMolecular patterns
dc.subjectOrganic reactions
dc.subjectQualitative models
dc.subjectQualitative reasonings
dc.subjectReasoning engines
dc.subjectReasoning processes
dc.subjectAutomata theory
dc.titleQRIOM: A QPT-based simulator for composing and reasoning qualitative models for learning organic reactionsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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