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A Multi-source Big Data Analytic System in Smart City for Urban Planning and Decision Making

by Ali Reza Honarvar (Author) Ashkan Sami (Author)

Essay 2016 6 Pages

Computer Science - Commercial Information Technology

Summary

Various sensors are embedded in different places of smart cities to monitor and collect data about the status of cities. The goal of a smart city is to improve the quality of life by improving the efficiency of services and providing residents needs using different technologies and mining captured data in cities. Mining such data to extract valuable knowledge involve a large number of challenges because various sources of data in smart cities usually are big, independent, heterogeneous and no semantic is integrated and annotated to them.

In this PhD research these concerns will be tackled by developing and proposing a novel system and approach by leveraging linked open data and semantic web technologies, data mining mechanisms and big data processing platforms

Details

Pages
6
Year
2016
File size
458 KB
Language
English
Catalog Number
v338435
Grade
Tags
big data smart city urban planning

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Title: A Multi-source Big Data Analytic System in Smart City for Urban Planning and Decision Making