Web Sports Data Extraction and Visualization

  • Robert P. Schumaker
  • Osama K. Solieman
  • Hsinchun Chen
Part of the Integrated Series in Information Systems book series (ISIS, volume 26)


How is it that we value data? Is a simple repository of data all that we need? It used to be that carrying a copy of Total Baseball was all that was ever needed, as it provided a historical perspective of player data that was adequate for our needs only a decade ago. Then as sabermetrics began to awaken the sporting world’s desire for more data and consequently new ways of analyzing that data, data itself began to evolve. Data first moved from static pages of written form to online resources. While this step was simply a change of venue, data was still data, but it soon began to become more. Web applications began to sort this data into leaderboards on a whole host of different statistics, thus entered information. From there, the applications evolved further, exploring the graphical realms of presentation, pushing that information into knowledge. It is amazing to think how quaint our memories of carrying a printed copy of Total Baseball are by today’s standards.


Video Footage Major League Baseball Game Event Home Field Advantage Winning Percentage 
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 US 2010

Authors and Affiliations

  • Robert P. Schumaker
    • 1
  • Osama K. Solieman
    • 2
  • Hsinchun Chen
    • 3
  1. 1.Cleveland State UniversityClevelandUSA
  2. 2.TucsonUSA
  3. 3.University of ArizonaTucsonUSA

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