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Building a context rich interface to low level sensor data

Shi, Jie (2012) Building a context rich interface to low level sensor data. Master of Science thesis, Dublin City University.

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Abstract

Sensor networks play an important role in our modern information society. These networks are used for a variety of activities in different domains, including traffic monitoring, environmental analysis, transport and personal health. In general, systems generate data in their own format with little or no associated semantics. As a result, data must be managed individually and significant human effort is required to analyze data and develop ad-hoc applications for different end-user requirements. The research presented here proposes a holistic and comprehensive approach to significantly reduce the human effort in analyzing networks of sensors. The goal is to facilitate any form of sensor network, enabling users to combine related semantics with sensor data, and facilitate the end-user transformation of data necessary to provide more complex query expressions, and thus meet the analytical requirements.

Item Type:Thesis (Master of Science)
Date of Award:November 2012
Refereed:No
Supervisor(s):Roantree, Mark
Uncontrolled Keywords:Sensors; Sensor Networks; Semantical Sensor Data
Subjects:Computer Science > Computer networks
Computer Science > Information technology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Enterprise Ireland
ID Code:17445
Deposited On:15 Nov 2012 11:43 by Mark Roantree. Last Modified 15 Nov 2012 11:43

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