From 46041a34b97eeb106f6eff0ab36876362eee6076 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gabriele=20H=C3=B6fler?= Date: Fri, 5 Jul 2019 13:08:34 +0200 Subject: [PATCH] Add README --- README.md | 31 ++++++++++++++++++++++++++++++- 1 file changed, 30 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6f8dbbe..c4620b8 100644 --- a/README.md +++ b/README.md @@ -1 +1,30 @@ -LOD +# Linked Open Data + +The following Jupyter Notebooks showcase some of our work with Linked Open Data. + +## [Viewer Links from BIBFRAME](ViewerlinksFromBibframe.ipynb) + +Downloading data from the library services platform +[Alma](https://knowledge.exlibrisgroup.com/Alma) and loading the results into a [pandas](https://pandas.pydata.org/) +dataframe, we create an [xlsx file](ABOExamplesFromALMAextended.xlsx) with the catalogue metadata. Further we add links +to the digital object and the barcodes of the physical objects to the file. + +## [Viewer Links from BIBFRAME with SRU](ViewerlinksFromBibframeWithSRU.ipynb) + +Very similar to the above, but this time we make an SRU-Query in Alma. + +## [Travelogues](Travelogues.ipynb) + +Working together with other institutions on the [Travelogues Project](http://www.travelogues-project.info/), we needed +to extrect specific metadata from Alma, both catalogue data and LOD data. + +## [SACHA Statistik Collection](SACHA Statistik Collection.ipynb) + +Using [SPARQL](https://labs.onb.ac.at/en/tool/sparql/) and pandas we extract datasets with +a specific subject heading. Making use of [SACHA](https://iiif.onb.ac.at/) we then create a collection of the data we +queried. + +## [OAI-PMH](OAI-PMH.ipynb) + +We show how to use [Sickle](https://sickle.readthedocs.io/en/latest/) to first list all available sets and then count +the number of entries in one specific set. \ No newline at end of file -- GitLab