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schaertl_andreas
Commits
6ab4c141
Commit
6ab4c141
authored
4 years ago
by
Andreas Schärtl
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report: add summary at the end of sections
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doc/report/applications.tex
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doc/report/applications.tex
doc/report/implementation.tex
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doc/report/implementation.tex
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doc/report/applications.tex
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6ab4c141
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@@ -340,7 +340,7 @@ ULO~triplets. More advanced queries could look at the interlinks
between authors and even uncover ``citation cartels'' as was done
previously with similar approaches~
\cite
{
citcart
}
.
\subs
ubs
ection
{
Summar
izing
$
\mathcal
{
Q
}_
1
$
to
$
\mathcal
{
Q
}_
3
$
}
\subsection
{
Summar
y
}
Experimenting with
$
\mathcal
{
Q
}_
1
$
to
$
\mathcal
{
Q
}_
3
$
provided us with
some insight into ULO and existing ULO exports.
$
\mathcal
{
Q
}_
1
$
shows
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doc/report/implementation.tex
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6ab4c141
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@@ -314,12 +314,23 @@ code for Collector and Importer is available in the
deployment files, that is Docker Compose configuration and additional
Dockerfiles are stored in a separate repository~
\cite
{
dockerfilerepo
}
.
\subsection
{
Summary
}
With this, we conclude our discussion of the implementation developed
for the
\emph
{
ulo-storage
}
project. We designed a system based around
(1)~a Collector which collects RDF triplets from third party sources,
(2)~an Importer which imports these triplets into a GraphDB database
and (3)~looked at different ways of querying a GraphDB Endpoint. All
of this is easy to deploy using a single Docker Compose file. With
this stack ready for use, we will now continue with a look at some
of this is easy to deploy using a single Docker Compose file.
Our concrete implementation is useful in so far as that we can use it
to experiment with ULO data sets. But development also provided
insight about (1)~which components this class of systems requires and
(2)~which problems need to be solved. One topic we discussed at large
is version management. It is easy to dismiss this in these early
stages of development, but no question it is something to keep in
mind.
With our stack ready for use, we will now continue with a look at some
interesting applications and queries built on top of this
infrastructure.
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