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  1. Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities (AIIP '13)
  2. Democratizing mobile app development for disaster management
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Real-life activity recognition: recognizing reading activities
Demand-driven power saving by multiagent negotiation for HVAC control
A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data
Intention-aware routing to minimise delays at electric vehicle charging stations: the research related to this demonstration has been published at IJCAI 2013 [1]
Open data for inclusive governance
Interdependent multi-issue negotiation for energy exchange in remote communities
Democratizing mobile app development for disaster management
A motion detection system for video surveillance
On the challenges of balancing privacy and utility of open health data
A framework for short-term activity-aware load forecasting
A computational model for corruption assessment

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Democratizing mobile app development for disaster management

Content Provider ACM Digital Library
Author Shih, Fuming Patton, Evan Meier, Patrick Seneviratne, Oshani Liccardi, Ilaria Castillo, Carlos
Abstract Smartphones are being used for a wide range of activities including messaging, social networking, calendar and contact management as well as location and context-aware applications. The ubiquity of handheld computing technology has been found to be especially useful in disaster management and relief operations. Our focus is to enable developers to quickly deploy applications that take advantage of key sources that are fundamental for today's networked citizens, including Twitter feeds, Facebook posts, current news releases, and government data. These applications will also have the capability of empowering citizens involved in crisis situations to contribute via crowdsourcing, and to communicate up-to-date information to others. We will leverage several technologies to develop this application framework, namely (i) Linked Data principles for structured data, (ii) existing data sources and ontologies for disaster management, and (iii) App Inventor, which is a mobile application development framework for non-programmers. In this paper, we describe our motivating use cases, our architecture, and our prototype implementation.
Starting Page 39
Ending Page 42
Page Count 4
File Format PDF
ISBN 9781450323468
DOI 10.1145/2516911.2516915
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-08-04
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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