Dark data in internet of things (IOT): challenges and opportunities
Date Issued
2018-02
Author(s)
Kocarev, Ljupco
Abstract
Nowadays we are witnessing the establishment of
the data-driven science as a new scientific paradigm, that is
opening a waste amount of new opportunities for scientific and
technological advances. The data is becoming the main asset in
today’s science and technology. Unfortunately, a significant
amount of available and stored data is not used today. This data is
known as a dark data. Starting from this point, the primary goal of
this paper is to raise the awareness of the opportunities that are
explored with the dark data utilization in companies and
organizations, by giving an overview of the underlining
technologies, proposing a methodology and showing example
projects that utilize the dark data in the IoT domain.
the data-driven science as a new scientific paradigm, that is
opening a waste amount of new opportunities for scientific and
technological advances. The data is becoming the main asset in
today’s science and technology. Unfortunately, a significant
amount of available and stored data is not used today. This data is
known as a dark data. Starting from this point, the primary goal of
this paper is to raise the awareness of the opportunities that are
explored with the dark data utilization in companies and
organizations, by giving an overview of the underlining
technologies, proposing a methodology and showing example
projects that utilize the dark data in the IoT domain.
Subjects
File(s)![Thumbnail Image]()
Loading...
Name
P1-DarkDatainInternetofThingsIoT.pdf
Size
1.92 MB
Format
Adobe PDF
Checksum
(MD5):00182621a5416ad7d4122a10d1a9dcfb