Elsevier sees promise in small language models and graph data

Elsevier has been leading efforts to transform tens of millions of scientific papers and institutional data into a linked semantic web on top of a Neo4j graph database. For the moment, they are leaving it up to academics to write their own summaries, which is vital since publishers are starting to prohibit input from the likes of ChatGPT.

This kind of measured approach allows them to grow their revenues while respecting the cornerstone of trust that has allowed Elsevier to lead the nearly $30 billion academic publishing industry. It is also helping Elsevier transform from a publisher of academic material to a data and analytics company.

Read more: https://diginomica.com/reed-elsevier-sees-promise-small-language-models-and-graph-data