How to Install and Uninstall texlive-scikgtex Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "texlive-scikgtex" package
Please follow the instructions below to install texlive-scikgtex on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
texlive-scikgtex
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2. Uninstall "texlive-scikgtex" package
This guide let you learn how to uninstall texlive-scikgtex on openSuSE Tumbleweed:
$
sudo zypper remove
texlive-scikgtex
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3. Information about the texlive-scikgtex package on openSuSE Tumbleweed
Information for package texlive-scikgtex:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : texlive-scikgtex
Version : 2023.209.2.1.1svn65256-54.2
Arch : noarch
Vendor : openSUSE
Installed Size : 25.2 KiB
Installed : No
Status : not installed
Source package : texlive-specs-u-2023-54.2.src
Upstream URL : https://www.tug.org/texlive/
Summary : Mark research contributions in scientific documents and embed them in PDF metadata
Description :
Scientific Knowledge Graph TeX (SciKgTeX) is a LuaLaTeX package
which makes it possible to annotate specific research
contributions in scientific documents. SciKGTeX will enrich the
document by adding the marked contributions to PDF metadata in
a structured XMP format which can be picked up by search
engines and knowledge graphs.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : texlive-scikgtex
Version : 2023.209.2.1.1svn65256-54.2
Arch : noarch
Vendor : openSUSE
Installed Size : 25.2 KiB
Installed : No
Status : not installed
Source package : texlive-specs-u-2023-54.2.src
Upstream URL : https://www.tug.org/texlive/
Summary : Mark research contributions in scientific documents and embed them in PDF metadata
Description :
Scientific Knowledge Graph TeX (SciKgTeX) is a LuaLaTeX package
which makes it possible to annotate specific research
contributions in scientific documents. SciKGTeX will enrich the
document by adding the marked contributions to PDF metadata in
a structured XMP format which can be picked up by search
engines and knowledge graphs.