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A Semantic Web Approach for Visualization-Based News Analytics

  • Maarten Jongmans
  • Viorel MileaEmail author
  • Flavius Frasincar
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 185)

Abstract

In order to understand news, dependency patterns between objects in (economic) news items have to be detected. We propose a framework which makes it possible to discover these patterns, and support the observations with statistical analysis. Based on these patterns, alerts can be generated based on emerging news. These alerts can then be used to manage (equity) portfolios. We test our framework based on historical data. The tests show statistically significant results supporting the idea that it is possible to discover such dependency patterns between objects in news items.

Keywords

Stock Price Resource Description Framework Stock Prex News Item Closing Price 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Maarten Jongmans
    • 1
  • Viorel Milea
    • 1
    Email author
  • Flavius Frasincar
    • 1
  1. 1.Erasmus School of Economics, Econometric InstituteErasmus University RotterdamRotterdamThe Netherlands

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