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Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
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A Web-Based Reporting Dashboard for Large-Scale Collections of Web 2.0 Artifacts

Thesis type
  • Bachelor
Student Stephan Erdtmann
Status Finished
Submitted in 2012
Proposal on 15. Nov 2011 15:00
Proposal room Seminarraum I5
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Presentation on 24. Apr 2012 16:00
Presentation room Seminarraum I5
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Design and implement reporting widgets for a web-based dashboard interfacing a relational database and open-source linguistic processing libraries.

Nowadays, it is extremely important to track utterances of the web community and to detect weak signals, e.g. a premonition of bad mass media press. For this purpose, a MediaBase collects large amounts of blog, wiki, forum, mailinglist and other forms of Web 2.0 data by the help of specialized crawling software. The Web 2.0 artifacts are stored in a relational database. Everybody can create and maintain such a MediaBase, e.g. for certain domains like technology enhanced learning or for products like electronic cameras or software.

The tasks of this bachelor thesis are to design and implement reporting widgets for a web-based dashboard. The widgets contain little reports visualizing query results of the MediaBase. Examples are word clouds for the most frequently used terms in Web 2.0 media, or co-occurrences of words with a certain temper like frustration. A number of open source tools realizing such analytic quests are available. The widgets are implemented in JavaScript. Some knowledge of SQL and Java is very helpful.

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