Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/463
Title: Ontology engineering and modelling for learning activity in a multiagent system
Authors: Ehimwenma, Kennedy E. 
Beer, Martin 
Crowther, Paul 
Issue Date: 2014
Publisher: Association for Computing Machinery
Source: Ehimwenma, K., Beer, M., & Crowther, P. (2014). Ontology engineering and modelling for learning activity in a multiagent system. Proceedings of the 2014 First International Conference on Systems Informatics, Modelling and Simulation, 143-147.
Journal: Proceedings of the 2014 First International Conference on Systems Informatics, Modelling and Simulation 
Conference: 2014 First International Conference on Systems Informatics, Modelling and Simulation 
Abstract: Prior and personalised learning is one area in cognitive learning that can be engineered on the platform of agent based intelligent systems. The requirement for inviting prior learning into a new learning context is the concept relationships between previous learning and the desired learning. In this paper this relationship has been established using ontology and mutliagent system in orchestrating a more personalised learning. This paper thus, present the use of Protege in the design of structured learning concepts in the domain of Computer Architecture. In this knowledge representation, attributes or properties are specified for classes, subclasses and individual members along with their constraints using Universal and Existential Restrictions. To the individuals, universal resource locator (URL) data values of the type string are assigned using the Data Property. And this process which has evolved in the development of a multiagent system for assessing prior learning before the take-off of new learning is being implemented with Jason AgentSpeak language.
URI: https://hdl.handle.net/20.500.12540/463
DOI: 10.1109/SIMS.2014.35
Appears in Collections:Scholarly Publications

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