A digital library for water main break identification and visualization

Authors:
Sunshin Lee;Noha Elsherbiny;Edward A. Fox
Affiliations:
Virginia Tech, Blacksburg, VA, USA;Virginia Tech, Blacksburg, VA, USA;Virginia Tech, Blacksburg, VA, USA
Venue:
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Year:
2012

Citing 2
Cited 0

Earthquake shakes Twitter users: real-time event detection by social sensors

Proceedings of the 19th international conference on World wide web
Twitter in mass emergency: what NLP techniques can contribute

WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a prototype of a digital library for water main break identification and visualization. Many utilities rely on an emergency call to detect water main breaks, because breaks are difficult to predict. Collecting the information by call requires time consuming human efforts. Furthermore, it is not archived and not shared with others. Collecting and archiving the information by tweets, news, and web resources helps users to identify relevant water main breaks efficiently. In developing this prototype, we extracted location information from text instead of using GPS data. We also describe the importance of tweet visualization by location, and how we visualize tweets on a map.