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A framework for user-assisted knowledge acquisition from sensor data

Conroy, Kenneth (2013) A framework for user-assisted knowledge acquisition from sensor data. PhD thesis, Dublin City University.

Abstract
The availability of a new generation of accurate, low-cost sensors to scientists has resulted in widespread deployment of these sensors in a variety of environments. Data generated by these devices are often in a raw, proprietary or unstructured format. As a result, it is difficult for scientists to analyse or query across various biological and physiological sensor data values. There exists both a physical-digital divide between sensor data with related real-world conditions, and a knowledge divide between the information needs of domain specialists. A key challenge is to bridge these divisions in order to allow scientists to make better decisions based on the sensed in- formation. The goal of this research is to show that low level data collection resources such as sensors can be used for high level query expressions and knowledge extraction, without the need for expensive human based operations. To achieve this goal, it was necessary to deliver a generic approach to enriching raw sensor data, providing information services to enable the end user to acquire knowledge from low-level sensor data and defining an integration framework for sensor data and related contextual information. As a result, key research questions of interpreting heterogeneous sensor data, enriching sensor data with contextual information, and integrating sensor data with related participant and environmental information, are tackled over the course of this dissertation.
Metadata
Item Type:Thesis (PhD)
Date of Award:November 2013
Refereed:No
Supervisor(s):Roantree, Mark
Uncontrolled Keywords:Sensor data; Big data; Data organisation; Data management
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:19232
Deposited On:26 Nov 2013 16:08 by Kenneth Conroy . Last Modified 19 Jul 2018 15:01
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