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.
Extracting Information from Google Fusion Tables
BRAMBILLA, MARCO;CERI, STEFANO;QUARTERONI, SILVIA ALESSANDRA
2012-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
