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The emerging paradigm of service-oriented computing requires novel techniques for various service-related tasks. Along with automated support for service discovery, selection, negotiation, and composition, support for automated service contracting and enactment is crucial for any large scale service ...

This study deploys a scalable machine learning pipeline: combining a transformer-based classifier applied to 2.01 million English-language AI-related news headlines (July 2022–July 2024) with large-language-model and human-annotator validation (three annotators, Fleiss’ 𝜅=0.80 ) on stratified subsa ...

The rapid growth of scientific publishing creates both opportunities and challenges for understanding emerging research trends. Traditional approaches to trend detection, such as citation analyses or latent topic models, often lag behind real developments or lack interpretability. To address these l ...