##VIVO sample data
August 3, 2014
This repository contains sample data that can be loaded into the VIVO Semantic Web application.
This is intended to be a basic sample set of data that can be loaded into a fresh VIVO instance. See the VIVO Vagrant and background information if you are interested in getting started with VIVO.
The data is mapped to the VIVO ISF ontology. The VIVO ISF was introduced in VIVO version 1.6.
###Data source
- People
- Organizations - these are sample departments and schools for a given institution.
- Positions
###Loading the data
With a VIVO instance running at http://localhost:8080/vivo/ login as an administrative user. Go to Site Admin (top right hand corner) and click "Add/Remove RDF data". Then upload the all.ttl file and select "Turtle from the dropdown menu."
After loading the data visit http://localhost:8080/vivo/display/org102017 in your browser, assuming you are running VIVO locally. This is the sample "Geothermal Technology Department" and has several members that you can browse.
###Mapping code Python is used to map from the source CSV files to RDF in the VIVO-ISF ontology. This code can be used as a reference for mapping local tabular data to RDF using the Python package RDFLib.
The code makes use of JSON-LD contexts to map from Python lists of dictionaries with the attributes to RDF. See the sample organization context. These contexts could potentially be shared across VIVO implementers to ease the extracting transforming and loading process that makes up a large portion of the work required to get up and running with VIVO.
###Tutorial
Two tutorials have been created with iPython notebooks as examples for those interested in getting started with Python, RDFLib and VIVO. These tutorials use the sample files included in data/csv and the code utilities in utils.py.