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 amicrodata collection extracted froma realmicroblogging system.
Similarity-based classification of microdata / S. Castano, A. Ferrara, S. Montanelli, G. Varese - In: Information technology and innovation trends in organizations : ItAIS: the Italian Association for Information Systems / [a cura di] A. D'Atri, M. Ferrara, J.F. George, P. Spagnoletti. - Heidelberg : Physica-Verlag, 2011. - ISBN 9783790826319. - pp. 125-132 [10.1007/978-3-7908-2632-6_15]
Similarity-based classification of microdata
S. CastanoPrimo
;A. FerraraSecondo
;S. MontanelliPenultimo
;G. VareseUltimo
2011
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 amicrodata collection extracted froma realmicroblogging system.
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