A Service-Oriented Framework for An Integrated Study of Intelligent Data Collection and Application

Service-Oriented Architecture (SOA) provides an optimized and transformative approach to software design that uses flexible mechanisms for linking services. Recently, it has been used in the technical phases of large-scale software system projects. Integrating the connection between services and artificial intelligence enables faster and smarter application development while providing a reliable, scalable, and interoperable framework for easy integration of different services. In addition, SOA architecture helps businesses and developers better understand the composition and operation of their services, leading to more efficient service design and development. In this project, we design an SOA framework based on Taiwan's meteorological and ChatGPT services. This experiment architecture will help users understand the services' composition and construction process, enabling better future design and integration of additional assistance.