Difference between revisions of "Lab: Group Project Presentations 1"
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You can look at the python example page to see how to connect to your
You can look at the python example page to see how to connect to your database in Python and perform some basic queries
Revision as of 00:34, 14 February 2020
Lab 5: Group Project Presentations
- Group Presentations.
- SPARQL programming in python with Blazegraph.
Today you will be presenting your ideas for the group project in the lab. Andreas Opdahl will be present to give you further feedback and ideas.
Tasks (if we have additional time)
After the presentations you can start on the tasks for next week. These tasks are about programming SPARQL queries and inserts in a python program. Last week we added triples manually from the web interface.
However, sometimes we would rather want to program the insertion or updates of triples for our databases.
- Redo all the steps from Lab 4, this time writing a Python/RDFlib program.
You can look at the python example page to see how to connect to your Blazegraph database in Python and how to perform some basic queries. The most important part is that we need to import a SPARQLWrapper in order to connect to the SPARQL endpoint of Blazegraph. Remember before you can program with Blazegraphm you have to make sure its running like we did in Lab 4. Make sure that the URL is the same as the one you receive form the commandline when running the server. Now you will be able to program queries and updates.
from SPARQLWrapper import SPARQLWrapper, JSON sparql = SPARQLWrapper("http://220.127.116.11:9999/blazegraph/sparql")