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

Essay from the year 2016 in the subject Computer Science - Commercial Information Technology, , language: English, abstract: 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