Abstract
Ontology plays an important role in the organization and management of knowledge in the field of research and various applications. Ontology research has attracted the attention of scientists worldwide. A traditional ontology concept lacks the ability to represent fuzzy information in the field of knowledge uncertainty. It turned out that fuzzy ontology is a good approach for this matter. On the other hand the problem of fuzzy ontology integration is still a problem with many challenges and requires research in both theory and application aspects. This paper presents an overview of selected results of recent research on the methods of resolving conflicts between ontologies in fuzzy ontology integration approaches.
This research is funded by Vietnam National University Ho Chi Minh City (VNU-HCM) under grant number C2014-26-05.
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Truong, H.B., Quach, X.H. (2014). An Overview of Fuzzy Ontology Integration Methods Based on Consensus Theory. In: van Do, T., Thi, H., Nguyen, N. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-06569-4_16
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DOI: https://doi.org/10.1007/978-3-319-06569-4_16
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