Similarity-Based Classification of Microdata

  • S. Castano
  • A. Ferrara
  • S. Montanelli
  • G. Varese


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.


Semantic Relation Textual Content Target Entity Social Network System Text Analysis Technique 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • S. Castano
    • 1
  • A. Ferrara
    • 1
  • S. Montanelli
    • 1
  • G. Varese
    • 1
  1. 1.Dipartimento di Informatica e ComunicazioneUniversità degli Studi di MilanoMilanoItaly

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