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2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (2017)
Atlanta, Georgia, USA
June 5, 2017 to June 8, 2017
ISSN: 1063-6927
ISBN: 978-1-5386-1792-2
pp: 2494-2496
ABSTRACT
LITMUS is a real-time online and openly accessible service that collects high quality information on landslide events from social media. This service uses disaster related keywords, such as "landslide" and "mudslide", to analyze messages posted by English speaking users. However, comprehensive coverage of disasters must include multilingual support as there are events that are reported in languages other than English. We discuss and evaluate possible implementations of such support using "native" and "translated" approaches. "Native" approach involves a complete reimplementation of the existing infrastructure in another language whereas in the "translated" approach the existing infrastructure can be used without modification. As an illustration, we present a demo that extends LITMUS to implement a "native" approach for multilingual reporting of landslide events.
INDEX TERMS
Terrain factors, Social network services, Real-time systems, Training, Computer science, Event detection, Information services
CITATION

A. Musaev, Q. Hou, Y. Yang and C. Pu, "LITMUS: Towards Multilingual Reporting of Landslides," 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, Georgia, USA, 2017, pp. 2494-2496.
doi:10.1109/ICDCS.2017.209
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