Enhancing Service-Oriented Architectures with Generative AI: A Case Study in Local Web-Based Service Discovery

Abstract

This paper studies the integration of Generative AI with Service-Oriented Architectures to enhance local web-based service discovery. As more and more organizations have started the process of adopting SOA for updating their software environments, the integration of Generative AI presents some exciting opportunities in improving state-of-the-art service matching and personalization. The case study herein demonstrates the use of Flask in tandem with a generative AI model to match user queries against services. With the system in this paper responding more to service-oriented computing through keyword detection and natural language processing of user input, initial testing presents the model as effective in the precise retrieval of services with a view to presenting a user-friendly interface for dynamic service discovery. This approach identifies the feasibility of AI-driven enhancements to SOA and creates the bedrock for subsequent applications in leveraging Generative AI for service delivery frameworks.