Difference between revisions of "Lab: SPARQL Programming"
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Revision as of 08:38, 21 February 2020
SPARQL programming in python with SPARQLWrapper and Blazegraph, or alternatively RDFlib. 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 graphs/databases.
- Redo all the SPARQL queries and updates from Lab 4, this time writing a Python program.
The most important part is that we need to import a SPARQLWrapper in order to connect to the SPARQL endpoint of Blazegraph. The default namespace for blazegraph is "kb". The different namespaces for blazegraph acts as seperate graphs/databases.
If you want to add other namespaces you can do it from the web-interface if Blazegraph. This is especially useful if you are using the UiB link to blazegraph: "i2s.uib.no:8888/bigdata/#splash", because with your own namespace, only you can select and update your data.
When it comes to how to do some queries and updates I recommend scrolling down on this page for help: https://github.com/RDFLib/sparqlwrapper. There are also some examples on our example page.
Remember, before you can program with Blazegraph you have to make sure its running like we did in Lab 4. Now you will be able to program queries and updates.
# How to establish connection to Blazegraph endpoint. from SPARQLWrapper import SPARQLWrapper, JSON, POST, DIGEST namespace = "kb" sparql = SPARQLWrapper("http://localhost:19999/blazegraph/namespace/"+ namespace + "/sparql")
Remember to make sure that you can see the changes that take place after your inserts.
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: