A Web-Based Reporting Dashboard for Large-Scale Collections of Web 2.0 Artifacts

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.