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On-demand generation of correlated collections of mashable data from distributed, non-homogeneous data sources

  • US 9,053,184 B2
  • Filed: 04/14/2011
  • Issued: 06/09/2015
  • Est. Priority Date: 04/14/2011
  • Status: Expired due to Fees
First Claim
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1. A method for on-demand generation of correlated collections of mashable data from distributed, heterogeneous data sources, the method comprising:

  • receiving an initial request for a data feed from a feed generator for a widget disposed in a mashup rendered within a Web browser;

    retrieving data for the requested data feed from at least one of the data sources over a computer communications network and placing the retrieved data into a virtual database providing an application programming interface (API) exposing different querying services to different feed generators; and

    upon receiving a subsequent request for a data feed of a different view of the data from a different feed generator for a different widget disposed in the mashup rendered within the Web browser, querying the virtual database to obtain the data to produce the requested data feed without retrieving the data from the data sources.

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