TU Berlin

Database Systems and Information Management GroupPublications

Logo FG DIMA-new  65px

Page Content

to Navigation

Publications

Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams
Citation key HenningTAKW-etal2016
Author Leonhard Hennig; Philippe Thomas; Renlong Ai; Johannes Kirschnick; He Wang; Jakob Pannier; Nora Zimmermann; Sven Schmeier; Feiyu Xu; Jan Ostwald; Hans Uszkoreit
Year 2016
Journal Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-16)
Volume 54
Abstract Monitoring mobility- and industryrelevant events is important in areas such as personal travel planning and supply chain management, but extracting events pertaining to specific companies, transit routes and locations from heterogeneous, high-volume text streams remains a significant challenge. We present Spree, a scalable system for real-time, automatic event extraction from social media, news and domain-specific RSS feeds. Our system is tailored to a range of mobilityand industry-related events, and processes German texts within a distributed linguistic analysis pipeline implemented in Apache Flink. The pipeline detects and disambiguates highly ambiguous domain-relevant entities, such as street names, and extracts various events with their geo-locations. Event streams are visualized on a dynamic, interactive map for monitoring and analysis.
Link to publication Link to original publication Download Bibtex entry

Navigation

Quick Access

Schnellnavigation zur Seite über Nummerneingabe