Name
Abstract | ||
|---|---|---|
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 summarize the data. We demonstrate a system which can automatically summarize real-time textual 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 observations that can be used in many contexts from military intelligence to participatory sensing campaigns. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2185677.2185718 | IPSN |
Keywords | Field | DocType |
free-form text summarization,summarization service,information aggregation,text message,real-time textual data,expected value,textual annotation,unstructured data type,numeric data,aggregate statistical property,text summarization,automatic summarization,real time,standard deviation,service provider,data type | Automatic summarization,Multi-document summarization,Information retrieval,Computer science,Popularity,Outlier,Unstructured data,Military intelligence,Global Positioning System,Participatory sensing | Conference |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongzhao Huang | 1 | 126 | 6.64 |
| Sam Anzaroot | 2 | 26 | 2.61 |
| Heng Ji | 3 | 1544 | 127.27 |
| Hieu Le | 4 | 212 | 7.66 |
| Dong Wang | 5 | 865 | 62.74 |
| Tarek Abdelzaher | 6 | 10179 | 729.36 |