Towards Ontological Structures Extraction from Folksonomies: An Efficient Fuzzy Clustering Approach

Marouf Zahia and Benslimane Sidi Mohamed
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Marouf Zahia: EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria
Benslimane Sidi Mohamed: EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria

International Journal of Intelligent Information Technologies (IJIIT), 2014, vol. 10, issue 4, 40-50

Abstract: Folksonomies are one of the technologies of Web 2.0 that permit users to annotate resources on the Web. In this paper, the authors propose an integrated approach to extract ontological structures from unstructured and semi-structured resources. Our proposal overcome limitations of existing approaches. It gives a formal, simple, and efficient solution to the tag clustering and disambiguation problem. Moreover, their approach doesn't need any ontology as an upper guide during the generation process. The generated ontology can be used to enhance various tasks such as ontology evolution and enrichment.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:10:y:2014:i:4:p:40-50

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