| Title |
An Interoperable Data Framework to Manipulate the Smart City Data using Semantic Technologies |
| ID_Doc |
38327 |
| Authors |
Beseiso, M; Al-Alwani, A; Altameem, A |
| Title |
An Interoperable Data Framework to Manipulate the Smart City Data using Semantic Technologies |
| Year |
2017 |
| Published |
International Journal Of Advanced Computer Science And Applications, 8, 1 |
| DOI |
|
| Abstract |
During the last decade, enormous volumes of urban data have been produced by the Government agencies, the NGOs and the citizens. In such a scenario, we are presented with a diverse set of data which holds valuable information. This information can be extracted and analyzed and have a number of usages for the well-being of citizens. The major impediment to achieve this goal is the data itself, the available data are redundant, scattered and come with various legacy formats. Data interoperability, scalability and integration are paramount issues which could not be resolved unless the scattered data silos are accessible with a standard representation. In this paper, we propose a framework that resolves the data interoperability and associated challenges in the smart city environment. The framework takes the raw smart city data from several resources and stores them in a NoSQL database. The framework transforms the scattered data into machine-processable data. Besides, the database is linked with an API and simple dashboard for further analysis, which can be utilized to build big data applications based on urban data so that government agencies can get a summarized overview of resource distribution. |
| Author Keywords |
Smart cities; Smart Data Integration; Big data; IOT; Software architecture |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000393855100010 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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