Scientific papers just got a leg up for findability. Semantic Scholar is a search engine that reads the literature on its own, picking out topics and influences, ranking citations, and making it easier to find exactly what you’re looking for. TechCrunch brought this news to us in their article, “Scientists gain a versatile, modern search engine with the AI-powered Semantic Scholar.”

Google Scholar and PubMed are similar resources, but they don’t utilize metadata in the same way. This search engine analyzes the full text of the article, looking for key phrases that it knows from reading a hundred thousand other articles in the field.

By using natural language processing it understands when a paper is discussing its own results or those of another experiment. Results are fast and relevant. For a scientist who frequently consults such articles, this is a huge advance.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.