Payola is an HTML5 web application which lets you work with graph data in a completely new way. You can visualize Linked Data using several preinstalled plugins as graphs, tables, etc. This also means, that you no longer need Pubby to browse through a Linked Data storage (via its SPARQL endpoint). Moreover, you can create an analysis and run it against a set of SPARQL endpoints without deep knowledge of SPARQL language itself. Analysis results are processed and visualized using the embedded visualization plugins.
For more information about functions and features of the Payola, please refer to the User Guide where all of them are described. If you're interested in forking or modifying the Payola, please look at the Developer Guide
- Map visualization - Inspections of CTIA - Czech Trade Inspection Agency - shown on a Google map with filtering capabilities
- Treemap - Inspections of CTIA - Czech Trade Inspection Agency - by regions with sanction amount
See our new app - payola-viz
If you work with RDF data on a daily basis, yes, you should. Payola may help you simplify or automatize some tasks. Also the visualizations may be used when describing linked data to people who are not that familiar with them.
If you just work with RDF data - it will help you access your data sources, browse them, visualize them and analyze the data. We've tried to minimize the need to learn the SPARQL language to work with linked data.
If you are a developer, you can also contribute with your own analytical plugin and share it to the users of your Payola installation. You can also come up with your own visualization plugin and compile your own version of Payola.
- Private tool to work with RDF data.
- Company tool to work with internal RDF data.
- Public website with community around a specific type of RDF data.
- Company/government website to present RDF data to the public.
Prerequisities of the Payola are installed and running local Virtuoso server and H2 database. The following text assumes, that both are installed with default settings. It's just a head start, for complete description of installation and configuration, see the Installation Guide.
First of all, clone the Payola git repository: git://github.com/siroky/Payola.git to a local folder. As the cloned repository contains just source code, it is necessary to compile Payola in order to run it. Open a command line (console, terminal) and make payola subdirectory the current working directory (e.g. by cd payola). Launch SBT (using the sbt.sh command or the sbt.bat on Windows) and enter the following commands:
> cp
...
> project initializer
> run
...
> project server
> run
Voilà! Your Payola server is running. The initializer project sets up your database to include an admin user (login [email protected], password payola!), a sample analysis and some data sources. You can, of course, remove those and create your own later.
© Copyright 2014
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Payola is built on top of other libraries and tools which we gratefully acknowledge: details of these libraries, their version numbers and licenses.