Smart City Gnosys

Smart city article details

Title	Towards Autonomous Knowledge Creation From Big Data In Smart Cities
ID_Doc	58037
Authors	Nowaczyk S.; Rögnvaldsson T.; Fan Y.; Calikus E.
Year	2021
Published	Handbook of Smart Cities
DOI	http://dx.doi.org/10.1007/978-3-030-69698-6_38
Abstract	The notion of smart cities is inherently connected with the notion of Big Data. It is Big Data that allows more and more intelligence to be added to our existing urban systems. This intelligence then, at least as a goal, is used to serve the needs of the citizens better, making the everyday operations more efficient and adaptive. Many recent successes of supervised machine learning make it an auspicious tool; however, the long-term vision of smart cities clearly requires technology that goes beyond that. The data collected based on the current operation of the system does not in itself contain information about possible improvements. The next generation of smart cities undoubtedly lies with the systems that build towards autonomous and semi-autonomous "knowledge creation." They can self-improve and adapt to changing conditions and expectations. They must handle situations that were not anticipated during their design. Such construction of knowledge can be illustrated with the Data, Information, Knowledge, and Wisdom hierarchy. It requires collecting and representing the data; creating relevant "events" from this data; generating rules that can combine information from different sources; and finally, the ability to project into the future and reason back into the past. © Springer Nature Switzerland AG 2021. All rights reserved.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
34955	0.888	Amaxilatis D.; Mylonas G.; Theodoridis E.; Diez L.; Deligiannidou K.	Learningcity: Knowledge Generation For Smart Cities	EAI/Springer Innovations in Communication and Computing (2020)
10598	0.879	Gourisaria M.K.; Jee G.; Harshvardhan G.M.; Konar D.; Singh P.K.	Artificially Intelligent And Sustainable Smart Cities	Studies in Computational Intelligence, 942 (2023)
35917	0.876	Sachdeva P.; Dileep Kumar M.	Machine Learning Approaches In Smart Cities	Lecture Notes in Networks and Systems, 471 (2023)
49568	0.876	Aishwarya R.I.; Asimithaa K.; Eunice J.	Smart Cities For The Future: A Data Science Approach	Cyber security and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (2025)
49833	0.871	Yaswanth R.; Babu M.R.; Vineetha B.; Shakeer S.M.; Potti V.	Smart Cities: An In-Depth Study Of Ai Algorithms And Advanced Connectivity	International Journal on Recent and Innovation Trends in Computing and Communication, 11, 8 (2023)
55993	0.871	Zheng Y.	The Knowledge System For Intelligent Cities; [城市知识体系]	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 48, 1 (2023)
43366	0.869	Zhang X.; Hua S.; Qi J.; Ruan Y.	Progress And Prospects Of New Smart City Construction: Ai-Based Big Data, Big Models And Big Computing Power; [新型智慧城市建设与展望:基于 Ai 的大数据、大模型与大算力]	Journal of Geo-Information Science, 26, 4 (2024)
12050	0.869	Ali, M	Big Data And Machine Intelligence In Software Platforms For Smart Cities	SOFTWARE ARCHITECTURE, ECSA 2020 TRACKS AND WORKSHOPS, 1269 (2020)
56004	0.868	Bibri S.E.	The Leading Data-Driven Smart Cities In Europe: Their Applied Solutions And Best Practices For Sustainable Development	Advances in Science, Technology and Innovation (2020)
50152	0.867	Sarker I.H.	Smart City Data Science: Towards Data-Driven Smart Cities With Open Research Issues	Internet of Things (Netherlands), 19 (2022)