Abstract
Recently, the approaches that combine semantic web ontologies and web 2.0 technologies have constituted a significant research field. We present in this paper an original approach concerning a technology that has recognized a great popularity in these recent years, we talk about folksonomies. Our aim in this contribution is propose new technique for the Social Semantic Web technologies in order to see how we can overcome the problem of tags’ ambiguity automatically in folksonomies even when we choose representing these latter with ontologies. We’ll also illustrate how we can enrich any folksonomy by a set of pertinent data to improve and facilitate the resources’ retrieval in these systems; all this with tackling another problem, we speak about spelling variations.
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References
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Beldjoudi, S., Seridi-Bouchelaghem, H., Faron-Zucker, C. (2012). Personalizing and Improving Tag-Based Search in Folksonomies. In: Ramsay, A., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2012. Lecture Notes in Computer Science(), vol 7557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33185-5_12
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DOI: https://doi.org/10.1007/978-3-642-33185-5_12
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