A New Search Engine Targeting Scientific Researchers Touts AI
January 27, 2017
The article titled How a New AI Powered Search Engine Is Changing How Neuroscientists Do Research on Search Engine Watch discusses the new search engine geared towards scientific researchers. It is called Semantic Scholar, and it uses AI to provide a comprehensive resource to scientists. The article explains,
This new search engine is actually able to think and analyze a study’s worth. GeekWire notes that, “Semantic Scholar uses data mining, natural language processing, and computer vision to identify and present key elements from research papers.” The engine is able to understand when a paper is referencing its own study or results from another source. Semantic Scholar can then identify important details, pull figures, and compare one study to thousands of other articles within one field.
This ability to rank and sort papers by relevance is tremendously valuable given the vast number of academic papers online. Google Scholar, by comparison, might lead a researcher in the right direction with its index of over 200 million articles, it simply does not have the same level of access to metadata that researchers need such as how often a paper or author has been cited. The creators of Semantic Scholar are not interested in competing with Google, but providing a niche search engine tailored to meet the needs of the scientific community.
Chelsea Kerwin, January 27, 2017
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