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Spatial-temporal data representation in ontology system for personalized decision support

Othman, Muhaini and Kasabov, Nikola and Hu, Raphael Spatial-temporal data representation in ontology system for personalized decision support. In: Talent Management Symposium (TMS 2012) , 11-12 July 2012, Australia.

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Abstract

This research is focus on designing a novel framework for personalized decision support and subsequently develops an application that employs discrete and spatial-temporal data for personalized knowledge representation and prognosis. The framework aims to unify machine learning approach and ontology knowledge representation approach for a better decision support. The main elements are the ontology system and personalized modeling engine where the relation between these two elements performs as an evolving system that interacts actively and harnesses the knowledge from each other hence enriching the knowledge base by discovering new knowledge. The personalized modeling engine is a process of model creation for a single input vector in a problem space based on nearest neighbor spatial-temporal data and information available in the ontology system. The first part of this study will focus on developing the personalized modeling engine to process the first case study dataset relate to weather and stroke occurrences. Several methods for personalized modeling will be investigated include classical and new methods that could be utilized to process spatial-temporal dataset.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ontology, personalized modeling, spatial-temporal data, decision support
Subjects: Q Science > QA Mathematics > QA71 Instruments and machines
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 08 Nov 2012 08:06
Last Modified: 08 Nov 2012 08:06
URI: http://eprints.uthm.edu.my/id/eprint/2825
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