SPARQL Endpoint Status

Introduction

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.

Directory structure

-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

Prerequisite

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)
• npm

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

License

SPARQLES code and dataset are licensed under a Creative Commons Attribution 4.0 International License.