Abstract
This paper investigates the unification of folksonomies and ontologies in such a way that the resulting structures can better support exploration and search on the World Wide Web. First, an integrated computational method is employed to extract the ontological structures from folksonomies. It exploits the power of low support association rule mining supplemented by an upper ontology such as WordNet. Promising results have been obtained from experiments using tag datasets from Flickr and Citeulike. Next, a crowdsourcing method is introduced to channel online users’ search efforts to help evolve the extracted ontology.
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Wu, X., Zhang, L., Yu, Y.: Exploring social annotations for the semantic web. In: Proceeding of the 15th WWW Conference, Edinburgh, Scotland, pp. 417–426. ACM, New York (2006)
Braun, S., Schmidt, A., Walter, A.: Ontology maturing: a collaborative web 2.0 approach to ontology engineering, Banff, Canda (2007)
Wu, H., Zubair, M., Maly, K.: Harvesting social knowledge from folksonomies. In: The 7th Conference on Hypertext and Hypermedia, Odense, Denmark (2006)
Heymann, P., Garcia-Molina, H.: Collaborative creation of communal hierarchical taxonomies in social tagging systems. Technical report, InfoLab, Stanford (2006)
Schmitz, C., Hotho, A., Jaschke, R., Stumme, G.: Mining association rules in folksonomies. In: The 10th IFCS Conference, Studies in Classification, Data Analysis, and Knowledge Organization (2006)
Angeletou, S., Sabou, M., Motta, E.: Semantically enriching folksonomies with FLOR. In: CISWeb, p. 65 (2008)
Cattuto, C., Benz, D., Hotho, A., Stumme, G.: Semantic grounding of tag relatedness in social bookmarking systems. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 615–631. Springer, Heidelberg (2008)
Brabham, D.C.: Crowdsourcing as a model for problem solving: An introduction and cases. Convergence 14(1), 75 (2008)
Niepert, M., Buckner, C., Allen, C.: Working the crowd: Design principles and early lessons from the Social-Semantic web (2009)
Siorpaes, K., Hepp, M.: Ontogame: Towards overcoming the incentive bottleneck in ontology building. In: 3rd International IFIP Workshop (2007)
von Ahn, L., Maurer, B., McMillen, C., Abraham, D., Blum, M.: reCAPTCHA: Human-Based character recognition via web security measures. Science 321(5895), 1465 (2008)
Limpens, F., Gandon, F., Buffa, M.: Collaborative semantic structuring of folksonomies. In: 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp. 132–135. IEEE Computer Society, Los Alamitos (2009)
Lin, H., Davis, J., Zhou, Y.: An integrated approach to extracting ontological structures from folksonomies. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 654–668. Springer, Heidelberg (2009)
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Lin, H., Davis, J. (2010). Computational and Crowdsourcing Methods for Extracting Ontological Structure from Folksonomy. In: Aroyo, L., et al. The Semantic Web: Research and Applications. ESWC 2010. Lecture Notes in Computer Science, vol 6089. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13489-0_46
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DOI: https://doi.org/10.1007/978-3-642-13489-0_46
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