Linking Historical Data on the Web

نویسندگان

  • Valeria Fionda
  • Giovanni Grasso
چکیده

Linked Data today available on the Web mostly represent snapshots at particular points in time. The temporal aspect of data is mostly taken into account only by adding and removing triples to keep datasets up-to-date, thus neglecting the importance to keep track of the evolution of data over time. To overcome this limitation, we introduce the LinkHisData framework to automatize the creation and publication of linked historical data extracted from the Deep Web.

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تاریخ انتشار 2014