A Data Mashup Language for the Data Web

In this paper, the authors motivated by the massively increasing structured data on the Web (data web), and the need for novel methods to exploit these data to their full potential. Building on the remarkable success of Web 2.0 mashups, this paper regards the internet as a database, where each web data source is seen as a table, and a mashup is seen as a query over these sources. They propose a data mashup language, which allows people to intuitively query and mash up structured and linked data on the web.

Provided by: RWTH Aachen University Topic: Data Management Date Added: Apr 2009 Format: PDF

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