Similarity-Based Classification of Microdata
Silvana Castano, Alfio Ferrara, Stefano Montanelli, Gaia Varese · 2011
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. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.