SPARQL Endpoint Status
SPARQL Endpoint Status project aims at monitoring SPARQL Endpoints based on 4 aspects:
- Discoverability analyses how SPARQL endpoints can be located, what meta-data are available for them, etc.
- Interoperability identifies which features of SPARQL 1.0 and SPARQL 1.1 standards are supported by an endpoint
- Performance measures generic performance aspects such as result-streaming, atomic lookups and simple-joins over a HTTP connection.
- Availability monitors the uptimes of a SPARQL endpoint.
-node/ (frontend code based on NodeJS technology) -sampleData/ (sample data to populate MongoDB for setting up or testing purposes) -scripts/ (shell scripts used to run global operations such as dumping the data) -src/ (backend Java code used to monitor the SPARQL Endpoints)
Deploying the application
In order to run both backend and frontend of SPARQLES application you need to install the following programs:
- Java (tested with version 1.7)
- MongoDB (tested with version 2.4.9)
- NodeJS (tested with version 0.12.4)
Get the code from GitHub: https://github.com/pyvandenbussche/sparqles
Loading sample data
For you to test the frontend, you can load the sample data provided in the sampleData folder. Use mongorestore command to load the unzipped data into a database named sparqles.
Running the frontend
Make sure the sparqles database is present in MongoDB and populated. You can now run the frontend by executing the following command:
cd node npm install node ./app.js
You should see the following message:
Express server listening on port 3001
You can then access your application at the following URL: http://localhost:3001/
Running the backend
- Git clone the project.
- Copy the cloned folder under Eclipse "workspace" and then run "create project" using that path (make sure the folder is in your workspace otherwise Eclipse complains)
- Install Maven plugin for Eclipse to handle dependencies http://www.eclipse.org/m2e/index.html
- Once plugin installed, select Configure>Convert to Maven Project
- That's it, you should be able to run from command line using these arguments:
SPARQLES -p src/main/resources/sparqles.properties -h
SPARQLES code and dataset are licensed under a Creative Commons Attribution 4.0 International License.