Difference between revisions of "Lab: Group Project Presentations 1"
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* Redo all the SPARQL queries and updates from [https://wiki.uib.no/info216/index.php/Lab:_SPARQL Lab 4], this time writing a Python
* Redo all the SPARQL queries and updates from [https://wiki.uib.no/info216/index.php/Lab:_SPARQL Lab 4], this time writing a Python program.
Revision as of 09:35, 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 SPARQL queries and updates from Lab 4, this time writing a Python 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. Now you will be able to program queries and updates.
# from SPARQLWrapper import SPARQLWrapper, JSON sparql = SPARQLWrapper("("http://localhost:9999/bigdata/sparql")")
If you have not been able to run Blazegraph yet, you can instead program SPARQL queries directly with RDFlib.
For help, look at the link below: