Using Semantic Web and Linked Data for Integrating and Publishing Data in Smart Cities

Abstract

Web of Data, Semantic Web, and Linked Data offer a set of dataset to exploit it in the different domain especially in smart cities. In this paper we illustrate the methodology used to extract data from different datasets, enrich them and publish them under the Linked Open Data paradigm to resolve the problem that exists in cities. The citizen helps public administer to declare the problems and fault. In order to test our methodology, we have chosen the dataset DBpedia among the set of Linked Open Data. Finally the tool SPARQL enables to launch queries to extract, publish and enrich Linked Open Data on the web.