Abstract
In this paper, we propose a similarity-based approach for microdata classification based on tagging, matching and clouding techniques. The goal is to construct entity-centric microdata clouds where similar microdata items can be properly arranged to highlight their relevance with respect to a selected target entity according to different notions of relevance defined in the paper. An application example is provided, based on a microdata collection extracted from a real microblogging system.
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© 2011 Springer-Verlag Berlin Heidelberg
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Castano, S., Ferrara, A., Montanelli, S., Varese, G. (2011). Similarity-Based Classification of Microdata. In: D'Atri, A., Ferrara, M., George, J., Spagnoletti, P. (eds) Information Technology and Innovation Trends in Organizations. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2632-6_15
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DOI: https://doi.org/10.1007/978-3-7908-2632-6_15
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