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Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2014) Creating human digital memories with the aid of pervasive mobile devices. PERVASIVE AND MOBILE COMPUTING, 12. pp. 160-178. ISSN 1574-1192
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Abstract
The abundance of mobile and sensing devices, within our environment, has led to a society
in which any object, embedded with sensors, is capable of providing us with information.
A human digital memory, created with the data from these pervasive devices, produces
a more dynamic and data rich memory. Information such as how you felt, where you
were and the context of the environment can be established. This paper presents the
DigMem system, which utilizes distributed mobile services, linked data and machine
learning to create such memories. Along with the design of the system, a prototype has
also been developed, and two case studies have been undertaken, which successfully create
memories. As well as demonstrating how memories are created, a key concern in human
digital memory research relates to the amount of data that is generated and stored. In
particular, searching this set of big data is a key challenge. In response to this, the paper
evaluates the use of machine learning algorithms, as an alternative to SPARQL, and treats
searching as a classification problem. In particular, supervised machine learning algorithms
are used to find information in semantic annotations, based on probabilistic reasoning.
Our approach produces good results with 100% sensitivity, 93% specificity, 93% positive
predicted value, 100% negative predicted value, and an overall accuracy of 97%.
Crown Copyright © 2013 Published by Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science and Mathematics |
| Publisher: | ELSEVIER SCIENCE BV |
| Related URLs: | |
| Date Deposited: | 27 Oct 2014 14:46 |
| Last Modified: | 04 Sep 2021 14:48 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/176 |
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