University of Konstanz
Graduiertenkolleg / PhD Program
Computer and Information Science

Graduation Talks

title

Towards a Framework for Real-Time Event Detection in High-Volume Social Media Data Streams

speaker

Andreas Weiler, University Konstanz
Konstanz, Germany

date & place

Wednesday, 15.01.2014, 15:15 h
Room G 309

abstract

Nowadays, there are plenty of sources generating massive amounts of data streams in a continuous way. For example, the increasing popularity and the active use of Twitter, results in voluminous and fast-flowing data streams containing a large amount of usergenerated data about almost any event around the world. This continuous emergence imposes new challenges on the way such data volumes are processed, analyzed, and visualized in real-time. The main goal of this work is to design a framework, for processing, analyzing, and visualizing the high-volume data streams from Twitter. The framework needs to be able to provide direct access to the live data stream as well as to historical datasets. To solve this task we take advantage of a database system for semi-structured data and extend it with the functionality of continuous querying. The combination of accessing and filtering the live data stream and the direct access to past datasets is used as a basis for developing an event detection and information system.