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A semantic web and linked data based framework for Smart City data management

The world is undergoing the largest wave of urban growth in history. Consequently, there is an increasing need to assemble Smart Cities that effectively and efficiently manage the resources required by their increasing populations. The interaction among all city actors still remains a challenge. A data model of smart city has to be smart enough to describe, integrate and support query from multiple domains. In this context, semantic technologies and linked data have an extremely high potential for providing the ground for new e-services within the ecosystems of a smart city. We propose a semantic Web and linked data based framework for smart city data management. We take Durgapur, one of the main cities in West Bengal, as an application domain. Our model and data allows citizens to observe and interact with work of public administration. Our services can be used as an API by businesses and programmers to develop front-end services. We describe the methodology used to extract data from different sources in different formats, enrich and nurture them, making use of an ontology that describes them and publish them under the linked data paradigm.