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Poster: Emergency Management Using SHERLOCK

Published: 18 May 2015 Publication History

Abstract

Emergency management has attracted the focus of mobile computing research in the last years due to the flexibility that it provides in critical scenarios. The lack of a pre-existing infrastructure or even a communication breakdown are important issues that mobile computing can deal with. In addition, Semantic Web techniques to handle the data in these scenarios, such as knowledge representation and reasoning, have been proven useful.
In the SHERLOCK project [1] we are developing a general system to provide users with interesting Location-Based Services (LBSs) that can help in emergency management. SHERLOCK executes on mobile devices and leverages their communication mechanisms to exchange information among them. The system uses: 1) ontologies and semantic reasoners to handle knowledge about LBSs and interesting objects, and 2) mobile agents to balance CPU consumption and communication load.

References

[1]
R. Yus, E. Mena, S. Ilarri, and A. Illarramendi, SHERLOCK: Semantic Management of Location-Based Services in Wireless Environments, Pervasive and Mobile Computing, 2014.
[2]
SHERLOCK. http://sid.cps.unizar.es/SHERLOCK.

Cited By

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  • (2020)A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless EnvironmentsIEEE Access10.1109/ACCESS.2020.29910518(80030-80048)Online publication date: 2020

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cover image ACM Conferences
MobiSys '15: Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services
May 2015
516 pages
ISBN:9781450334945
DOI:10.1145/2742647
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 18 May 2015

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MobiSys '15 Paper Acceptance Rate 29 of 219 submissions, 13%;
Overall Acceptance Rate 274 of 1,679 submissions, 16%

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  • (2020)A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless EnvironmentsIEEE Access10.1109/ACCESS.2020.29910518(80030-80048)Online publication date: 2020

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