This tutorial will guide new adopters to customize and adapt the GWAP-enabler framework to a new use case.
The goal of this tutorial is twofold; on the one hand, we provide developers with a guided example of an "instantiation" of our framework; on the other hand, we demonstrate how the GWAP Enabler could be used and adapted to build a crowdsourcing web application to enrich and refine OpenStreetMap data and, consequently, its linked data version LinkedGeoData, in which users are motivated to participate through fun incentives.
In particular the tutorial explains how build a new GWAP that aims to classify OpenStreetMap restaurants on the basis of the type of cuisine. Following the wiki pages you will be able to implement step-by-step your GWAP in only few hours.
If you want to cite this work:
Gloria Re Calegari, Andrea Fiano, Irene Celino: A Framework to build Games with a Purpose for Linked Data Refinement, in proceedings of the International Semantic Web Conference 2018, Resources Track, Monterey, California, 2018.
The development of this tutorial has been partially supported by the EU H2020 project STARS4ALL.