Ontology-Based Web Services for RESTful Application in Aviation

Abstract

The number of REST APIs has grown very fast, which makes it hard for developers to find, connect, and use the right services. Most current systems rely on keyword searches, but these often fail to capture important details about how a service works or how well it performs. This leads to slow and error-prone integration. To solve this problem, this project introduces the Semantic RESTful Service Registry (SRSR). It combines REST APIs with Semantic Web technologies to make services easier to understand for ma chines. Using tools like OWL-S and a custom REST-based ontology, each service is described in a structured and meaningful way, including its functions and performance factors such as availability, response time, and reliability. The system uses RDFLib to manage data and SPARQL to perform intelligent searches based on properties rather than just keywords. It also includes a smart ranking system that selects the best service based on quality factors. Additionally, SRSR can automatically invoke services by matching user inputs with the correct API requests. The results show that this approach improves service discovery accuracy and supports automation. A graph-based visualization feature also helps developers easily understand service relationships and networks.