Ontology-Based Cognitive Service Discovery & Composition
Linda Ouchaou, Hassina Nacer, François Charoy, Samir Youcef · 2022
Cloud cognitive computing has received a lot of attention lately especially for tackling real-world problems such as vision, natural language processing, fraud detection, sentiment analysis and speech recognition. This paradigm is based on cloud serverless computing and it provides machine learning based functions to end users. Part of the appeal in adopting this paradigm is its simplicity and the future promises a fast-growing serverless-native ecosystem in which service discovery and composition methods must be provided. However, serverless platforms still lack automated searching methods and the research community’s attention regarding this issue has been limited. In this paper, we propose an ontology-based approach for discovering and composing cognitive functions in serverless platforms in order to automate the searching process and semantically answer users’ requirements. We also carried a set of experiments to verify the correctness and the feasibility of our approach and discuss the influence of cognitive services nature on the outcomes of the discovery and composition approach.