Abstract
The goal of this dissertation is to develop a semantically-enhanced platform for
monitoring sensor feeds from the Internet of Things. The target for our pilot deployment
will be the Smart IHU project, which is a network of sensors deployed at the
International Hellenic University Campus. It consists of an assortment of devices by
different manufacturers, measuring a number of parameters, from environmental
conditions to power consumption.
Our first goal for the portal is to provide a user-friendly interface for graphically
representing the sensor data series, enable parallel monitoring and comparisons, with
effective zooming at different time ranges, long or short. To provide users with an even
more powerful tool for discovering hidden associations between parameters, our second
goal is to allow processing of data series levels by supporting summation, difference
and average. Our third goal is to expose the physical model of the Smart IHU sensor
network through a semantic interface to query its ontology. Enabling our portal with
semantic querying capabilities will allow the user to discover available sensors based on
parameter of interest and location in the buildings.
Achieving these goals, will significantly upgrade the current Smart IHU portal and
make it more user friendly for end-users, and more manageable for the maintainer of the
constantly growing deployment of sensors at IHU.
I would like to thank my supervisor, Prof. N. Bassiliades, for motivating me in the
field of Knowledge Management and the guidance he provided in resolving issues with
the ontology and the reasoners. I would also like to thank my dissertation advisor,
Thanos G. Stavropoulos, who made himself available, day or night, to discuss and solve
the issues that arose at every step along the way. I would also like to express my
gratitude to my colleagues at the IT Center of the Aristotle University of Thessaloniki
for hosting our efforts to explore Internet technology over the last 15 years. I owe much
to them and the thoughtful tech sharing we have every day. Last, but not least, I would
like to thank my family, for enduring my late hour work and my constant absence from
their activities during the past year. Their curious and encouraging faces whenever they
stopped over to see what I was up to on my computer, is a picture I cherish.
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