An e-Participation support system for regional communities based on linked open data, classification and clustering

Abstract

In this paper, we present an e-Participation Web system for various platforms and mobile phones, based on linked open data, classification and clustering. The system aims at supporting citizen e-Participation in ongoing regional debates by gathering and openly publishing news and opinions from the Web for easy comprehension and commenting. Our study helps us define relevant evaluation criteria for an adequate citizen discussion system in the new context of open government, the Web, and mobile computing. We present the system, O2, and its application citispe@k, as well as its underlying components: ontology structure, classification and clustering. We then conduct a comparison with existing systems and find that our system is a better approach for efficient citizen e-participation when compared to current existing systems.