Report: “AI2’s Semantic Scholar Search Engine Now Takes in the Full Sweep of Scientific Papers”

Ed. Note: infoDOCKET has been posting about, using, and demonstrating SemanticScholar since day one on November 11, 2019. This academic research search tool is a 100% impressive and useful research resource. 

As of October, 23, 2019, Semantic Scholar provides metadata, abstracts (and often, full text access) to over 178,000,000 papers. 

From GeekWire:

Seattle’s Allen Institute for Artificial Intelligence says its academic search engine, Semantic Scholar, is now in high gear — thanks to a power boost from Microsoft that helped expand its reach to every field of science.

Over the course of just a few months, Semantic Scholar’s database has gone from indexing 40 million research papers in computer science and biomedicine to taking in more than 175 million papers. The database not only covers the time-honored physical sciences, but also political science and sociology, art and philosophy.

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Raymond said the Allen Institute for Artificial Intelligence, or AI2, has also partnered with Impactstory and Unpaywall to improve its coverage of open-access publications. Those partnerships have enabled AI2 to analyze how open-access publications are changing the way scientific findings are distributed.

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Semantic Scholar has been helping AI2 track the rise of open-access research. Raymond said the total number of open-access research papers is rising at an average annual rate of 9.9% over the past 10 years, to the point that they now represent 29% of all published articles.

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See Also: Highwire and Semantic Scholar Partner to Enhance Article Discovery (October 17, 2019)

See Also: Springer Nature and Semantic Scholar From the Allen Institute for Artificial Intelligence (AI2) Expand Collaboration (July 30, 2019)

Filed under: Journal Articles, News, Open Access, Springer Nature