Meetup #4: Data Vandalism & IoT Demo

Vandalism Detection in Wikidata
Wikidata is the new, large-scale knowledge base of the Wikimedia Foundation. Its knowledge is increasingly used within Wikipedia itself and various other kinds of information systems, imposing high demands on its integrity. Wikidata can be edited by anyone and, unfortunately, it frequently gets vandalized, exposing all information systems using it to the risk of spreading vandalized and falsified information. In this talk, the speaker presents a machine learning-based approach to detect vandalism in Wikidata. The approach significantly outperforms the state of the art represented by the rule-based Wikidata Abuse Filter and a prototypical vandalism detector recently introduced by Wikimedia within the Objective Revision Evaluation Service.
BIO: Stefan Heindorf is a PhD student in computer science at Paderborn University. His research interests include data science, knowledge bases, semantic data, and data quality. He received his master’s degree in computer science from Paderborn University. His work on vandalism detection in Wikidata won the CIKM 2016 best paper award.

Make yourself IoT-ready in 20 Minutes
Pranay Tare will demonstrate, how to get started with a simple implementation of an Internet of Thing (IoT) setup using sensing devices. This implementation basically consists of three main systems:
• an acquisition system
• a RasPi server
• Azure IoT
These systems use modules such as Bluetooth Low Energy beacons for gathering and transmitting data, cloud services for data storage and analytics. This prototype is used to generate real-time graphical information which can be used for forecasting, notifications, feedbacks and/ or alerts. Additionally, the demonstration justifies IoT in real-world scenario.
BIO: After his Bachelor in India, Pranay acquired a Master of Computer Science at the University of Goettingen. Right now, he works at pmOne Analytics in Paderborn as a Data Engineer. In his free time, he loves to travel, learn about different cultures, reads and does sports.