News Trends Processing Using Open Linked Data

Antonio Garrote (Universidad de Salamanca, Spain) and María N. Moreno García (Universidad de Salamanca, Spain)
Copyright: © 2013 |Pages: 7
EISBN13: 9781466646032|DOI: 10.4018/978-1-4666-2827-4.ch010
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In this chapter we describe a news trends detection system built with the aim of detecting daily trends in a big collection of news articles extracted from the web and expose the computed trends data as open linked data that can be consumed by other components of the IT infrastructure. Due to the sheer amount of data being processed, the system relies on big data technologies to process raw news data and compute the trends that will be later exposed as open linked data. Thanks to the open linked data interface, data can be easily consumed by other components of the application, like a JavaScript front-end, or re-used by different IT systems. The case is a good example of how open linked data can be used to provide a convenient interface to big data systems.
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