Universality of a natural language interface for interaction with different types of application programming interfaces

Igor V. Evchenko

Abstract


This article examines the universality of a natural language interface for interaction with various types of application programming interfaces (APIs). It explores approaches to developing a semantic model that adapts the interface and algorithms for the automatic transformation of natural language queries into API calls. A method is proposed that combines modern natural language processing technologies with traditional approaches, ensuring high accuracy and completeness in query processing. An experimental study was conducted, and the results confirmed the universality of the developed interface and its ability to adapt to different interaction scenarios. Based on the findings, it can be concluded that the proposed approach enhances the accuracy and usability of APIs for users without technical expertise and can be applied in various fields that require automated interaction with information systems.

 


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