The SKM3 team is developing innovative approaches to generate value out of scholarly data by leveraging large-scale data mining, semantic technologies, machine learning, and visual analytics .
We are currently pursuing a number of research avenues, including:

We collaborate with major publishers and universities to generate scalable applications, such as search engines, recommender systems, and analytics tools. In particular, we are currently working closely with Springer Nature in the development of a number of semantically-enhanced solutions, such as Smart Topic Miner, a web application that supports editors in classifying books with relevant metadata, and the Smart Book Recommender, a system that assists editors in deciding which products should be marketed at scientific venues.