Knowledge-Grid Modelling for Academic Purposes

Abstract : Nowadays, we face a huge amount of data and information sharing on the Web by different users worldwide. A multidimensional perspective in describing a university ontology seems to be very important for the modelling of higher education resources. This paper proposes a multi-dimensional knowledge model, designed to distribute and manage knowledge resources efficiently. We propose our model as the foundation of an advanced knowledge platform including the following dimensions: time, area and social. Three crucial domains should be considered in this model: educational, research and managerial. The ontology including the mentioned knowledge management aspects is prepared using Ontorion Fluent Editor.
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Communication dans un congrès
Eunika Mercier-Laurent; Danielle Boulanger. 3rd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2015, Buenos Aires, Argentina. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-497, pp.1-14, 2016, Artificial Intelligence for Knowledge Management. 〈10.1007/978-3-319-55970-4_1〉
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Mieczysław Owoc, Krzysztof Hauke, Paweł Weichbroth. Knowledge-Grid Modelling for Academic Purposes. Eunika Mercier-Laurent; Danielle Boulanger. 3rd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2015, Buenos Aires, Argentina. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-497, pp.1-14, 2016, Artificial Intelligence for Knowledge Management. 〈10.1007/978-3-319-55970-4_1〉. 〈hal-01626991〉

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