Improving the Semantic Search

February 3, 2017 / Melody Smith / Comments Off on Improving the Semantic Search

Scientific papers just got a boost. 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.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.