Data Summarization in Social Sensing

This demonstration illustrates an information aggregation and summarization service for social sensing applications. Social sensing, using mobile phones and other networked devices in the possession of individuals, has gained significant popularity in recent years. In some cases, the information collected is structured, such as numeric data from temperature sensors, accelerometers, or GPS devices. Aggregate statistical properties, such as expected values, standard deviations, and outliers, can be easily computed, and can be used to summarize the data set. In other cases, however, the collection includes unstructured data types such as text or images with textual annotations. The concepts of expected values and outliers are harder to define, yet it is still important to be able to aggregate and summarise the data. We demonstrate a system which can automatically summarize real-time unstructured data common to social sensing applications. Specifically, we focus on text messages that describe events in the environment. The output of our service provides a reliable summary of unstructured observations that can be used in many contexts from military intelligence to participatory sensing campaigns.