Web Mashup Application Service Framework

Web mashup application service frameworks aim to streamline the creation of applications by integrating diverse online services. Current research focuses on improving service discovery and recommendation, often employing machine learning techniques like embedding algorithms to learn service relationships and predict optimal service combinations based on application goals and context. These frameworks enhance application development efficiency and enable sophisticated analytics, as demonstrated by applications in areas like multivariate time series analysis for real-world problems such as microgrid management.