The following repository includes a Python web application which can be used to execute and display the results of SPARQL queries on endpoints.
The following sections cover the installation and running of the application. The application requires python 3.10 or greater to run.
The following command can be used to download this repository: git clone https://github.com/alex-randles/RDF-Graph-Search.git
Alternatively, you can download the a ZIP file containing the code here: https://github.com/alex-randles/RDF-Graph-Search/archive/refs/heads/main.zip
The requirements.txt file contains the two packages which are required to run the application.
- Flask: Responsible for hosting the web application.
- SPARQLWrapper: Responsible for executing SPARQL queries on endpoints.
The packages can be installed using the following command: pip3 install -r requirements.txt
The application can be started using the following command: python3 main.py
The interface of the application will run on localhost port 5000 by default 127.0.0.1:5000.
The port can be configured on line 66 of main.py by changing the respective variable app.run(debug=True, host="127.0.0.1", port=5000)
The SPARQL query executed by the application can be changed by editing the sparql_query variable on line 20 of main.py.
The string {query_parameter} in the SPARQL query will be replaced by the query parameter entered into the interface.
The SPARQL query already included in main.py can be executed on the Virtual Treasury Knowlege Graph. The query will return people with the name entered into the interface.
The sample query can be executed by accessing the interface, selecting the VRTI endpoint from the dropdown on the right and entering a name. The sample query will only return a result for the VRTI endpoint.