| Abstract |
The new wave of the next industrial revolution is beginning. Many meta-verse platforms have been launched successfully. One of these digital twins will use automatic big data analysis technologies to affect our real-world efficiently. Following the analysis of various large amounts of data on digital twins in the meta-verse, smart cities will be constructed more efficiently. These analyses of big data from virtual worlds should be customizable for various goal tasks; therefore, the analysis workflow requires higher intelligence, but it is very difficult to overcome this high barrier. A possible solution is to use an automatic service composition technique. In this chapter, automatic service composition architecture, in addition to discovery and composition methods using a heuristic deep learning approach, will be introduced. In addition, an example framework using service composition to analyze big data will be explained. Finally, this chapter will show how automatic big data analysis is processed in a service composition sequence that is supported by AI. © The Editor(s) (if applicable) and The Author(s) 2024. This book is an open access publication. |
