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Title: | SEMA4A: An ontology for emergency notification systems accessibility |
Authors: | Onorati, T Diaz, P Aedo, I Astorga-Paliza, F |
Keywords: | HCI;Accessibility;Ontology management;Universal design;Emergency response information systems (ERIS) |
Issue Date: | 2010 |
Publisher: | Elsevier |
Citation: | Expert Systems with Applications, 37(4), 3380 - 3391, 2010 |
Abstract: | Providing alert communication in emergency situations is vital to reduce the number of victims. Reaching this goal is challenging due to users’ diversity: people with disabilities, elderly and children, and other vulnerable groups. Notifications are critical when an emergency scenario is going to happen (e.g. a typhoon approaching) so the ability to transmit notifications to different kind of users is a crucial feature for such systems. In this work an ontology was developed by investigating different sources: accessibility guidelines, emergency response systems, communication devices and technologies, taking into account the different abilities of people to react to different alarms (e.g. mobile phone vibration as an alarm for deafblind people). We think that the proposed ontology addresses the information needs for sharing and integrating emergency notification messages over distinct emergency response information systems providing accessibility under different conditions and for different kind of users. |
Description: | This is the post-print version of the final paper published in Expert Systems with Applications. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2009 Elsevier B.V. |
URI: | http://www.sciencedirect.com/science/article/pii/S0957417409008768 http://bura.brunel.ac.uk/handle/2438/8681 |
DOI: | http://dx.doi.org/10.1016/j.eswa.2009.10.010 |
ISSN: | 0957-4174 |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
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