Use of Semantic Web technologies in Knowledge Management
Date Issued
2010-01
Author(s)
Jovanovik, Milos
Apostolski, Vladimir
Abstract
The fast technology development causes exponential increase
of the number of information available to the people. But
people do not to extract useful conclusions from all the
information served, simply because they are either overloaded
or uninterested about certain topics. By their nature, people are
slow, unreliable, they forget and make errors while
interpreting information. Machines, on the other hand, are
much more effective in terms of speed, processing power and
reliability, making them suitable for managing with human
knowledge. The idea is to introduce systems for knowledge
management, organization and interpretation by computers,
which will raise the human-computer interaction level and
improve distribution of knowledge according to individual
needs. Systems capable of gathering, sharing, learning and
interpreting stored information are referred to as Semantic
Knowledge Management Systems. In this paper, we analyze
traditional knowledge management software systems and then
describe our effort to implement such knowledge management
system that is fueled by available Semantic Web technologies.
Its architecture is given in details, as well as the platform on
which our experiments are performed. At the end of the paper
we conclude that semantic knowledge management systems
open a new field of opportunities for research and further
realization of the idea about the Semantic Web.
of the number of information available to the people. But
people do not to extract useful conclusions from all the
information served, simply because they are either overloaded
or uninterested about certain topics. By their nature, people are
slow, unreliable, they forget and make errors while
interpreting information. Machines, on the other hand, are
much more effective in terms of speed, processing power and
reliability, making them suitable for managing with human
knowledge. The idea is to introduce systems for knowledge
management, organization and interpretation by computers,
which will raise the human-computer interaction level and
improve distribution of knowledge according to individual
needs. Systems capable of gathering, sharing, learning and
interpreting stored information are referred to as Semantic
Knowledge Management Systems. In this paper, we analyze
traditional knowledge management software systems and then
describe our effort to implement such knowledge management
system that is fueled by available Semantic Web technologies.
Its architecture is given in details, as well as the platform on
which our experiments are performed. At the end of the paper
we conclude that semantic knowledge management systems
open a new field of opportunities for research and further
realization of the idea about the Semantic Web.
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