Anzeige
Erschienen in:
2012 | OriginalPaper | Buchkapitel
Semantic Wiki-Based Knowledge Management System by Interleaving Ontology Mapping Tool
verfasst von : Jason J. Jung, Dariusz Król
Erschienen in: Artificial Intelligence and Soft Computing
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.