| Title |
Dealing with Imperfect Data in "Smart-Cities" |
| ID_Doc |
43428 |
| Authors |
Ben Sta, H; Ben Rejeb, A; Gattoufi, S |
| Title |
Dealing with Imperfect Data in "Smart-Cities" |
| Year |
2016 |
| Published |
|
| DOI |
10.3233/978-1-61499-670-5-211 |
| Abstract |
As a new form of sustainable development, the concept "Smart Cities" knows a large expansion during the recent years. It represents an urban model, refers to all alternative approaches to metropolitan ICTs case to enhance quality and performance of urban service for better interaction between citizens and government. However, the smart cities based on distributed and autonomous information infrastructure contains millions of information sources that will be expected more than 50 billion devices connected by using IoT or other similar technologies in 2020. Real-time data generated from autonomous and distributed sources can contain all sorts of imperfections regarding on the quality of data e.g. imprecision, uncertainty, ignorance and/or incompleteness. Any imperfection in data within smart city can have an adverse effect over the performance of urban services and decision making. In this context, we address in this article the problem of imperfection in smart city data. We will focus on handling imperfection during the process of information retrieval and data integration and we will create an evidential database by using the evidence theory in order to improve the efficiency of smart city. |
| Author Keywords |
Smart Cities; ICT; Real-time data; Imperfection; Evidential database; Theory of belief functions; IoT; IoE; Crowdsourcing |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000383380900022 |
| WoS Category |
Information Science & Library Science; Political Science |
| Research Area |
Information Science & Library Science; Government & Law |
| PDF |
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