Semantic wiki-based knowledge management system by interleaving ontology mapping tool

Authors:
Jason J. Jung;Dariusz Król
Affiliations:
Department of Computer Engineering, Yeungnam University, Gyeongsan, Korea;Wroclaw University of Technology, Wroclaw, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

In this paper, we propose a novel KMS by using semantic wiki framework based on a centralized Global Wiki Ontology (GWO). The main aim of this system is i ) to collect as many organizational resources as possible, and ii ) to maintain semantic consistency of the system. During enriching the KMS in a particular domain, not only linguistic resources but also conceptual structures can be efficiently captured from multiple users, and more importantly, the resources can be automatically integrated with the GWO of the KMS in the real time. Once users add new organization resources, the proposed KMS can formalize and contextualize them into a set of triplets by referring to a predefined pattern-triplet mapping table and the GWO. Especially, since the ontology matcher is interleaved, the KMS can determine whether the new resources are semantically conflicted with the GWO.