Chapter

Search Computing

Volume 7538 of the series Lecture Notes in Computer Science pp 53-67

Extracting Information from Google Fusion Tables

  • Marco BrambillaAffiliated withDipartimento di Elettronica e Informazione, Politecnico di Milano
  • , Stefano CeriAffiliated withDipartimento di Elettronica e Informazione, Politecnico di Milano
  • , Nicola CinefraAffiliated withDipartimento di Elettronica e Informazione, Politecnico di Milano
  • , Anish Das SarmaAffiliated withGoogle Inc.
  • , Fabio ForghieriAffiliated withDipartimento di Elettronica e Informazione, Politecnico di Milano
  • , Silvia QuarteroniAffiliated withDipartimento di Elettronica e Informazione, Politecnico di Milano

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Abstract

With Fusion Tables, Google has made available a huge repository that allows users to share, visualize and manage structured data. Since 2009, thousands of tables have been shared online, encompassing data from virtually any domain and entered by all kinds of users, from professional to non-experts. While Fusion Tables are a potentially precious source of freely available structured information for all sorts of applications, complex querying and composing them is not supported natively, as it requires understanding both the structure and content of tables’ data, which are heterogeneous and produced "bottom-up". In this paper, we discuss ongoing and future work concerning the integration of Fusion Tables in the aim of efficiently integrating, visualizing, and querying them.

Keywords

semantic annotation service description search services