Similarity-Based Classification of Microdata
S. Castano (),
A. Ferrara (),
S. Montanelli () and
G. Varese ()
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S. Castano: Università degli Studi di Milano
A. Ferrara: Università degli Studi di Milano
S. Montanelli: Università degli Studi di Milano
G. Varese: Università degli Studi di Milano
A chapter in Information Technology and Innovation Trends in Organizations, 2011, pp 125-132 from Springer
Abstract:
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.
Keywords: Semantic Relation; Textual Content; Target Entity; Social Network System; Text Analysis Technique (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2632-6_15
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DOI: 10.1007/978-3-7908-2632-6_15
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