Introduction to topic detection and tracking
Topic detection and tracking
Enhancing cluster labeling using wikipedia
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Folksonomy-based term extraction for word cloud generation
Proceedings of the 20th ACM international conference on Information and knowledge management
Workshop on multimodal crowd sensing (CrowdSens 2012)
Proceedings of the 21st ACM international conference on Information and knowledge management
Robust detection of hyper-local events from geotagged social media data
Proceedings of the Thirteenth International Workshop on Multimedia Data Mining
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In this work we discuss the challenge of harnessing the crowd for smart city sensing. Within a city's context, such reports by citizen or city visitor eye witnesses may provide important information to city officials, additionally to more traditional data gathered by other means (e.g., through the city's control center, emergency services, sensors spread across the city, etc). We present an high-level overview of a novel crowd sensing system that we develop in IBM for the smart cities domain. As a proof of concept, we present some preliminary results using public safety as our example usecase.