Meta (academic company)
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| Founders | Sam Molyneux, Amy Molyneux |
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| Headquarters | Toronto, Ontario, Canada |
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Area served
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Academia, Government, Publishing, Industry |
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Number of employees
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25-35 |
| Website | meta |
Meta is an artificial intelligence company specializing in big data analysis of scientific and technical literature. The company is headquartered in Toronto, Ontario, Canada[1] and operates Meta Science, a scientific knowledge network powered by artificial intelligence.[2][3][4]
History[edit]
Meta Inc., formerly Sciencescape Inc.,[5] was founded in 2010 by Sam and Amy Molyneux. Before co-founding Meta, Sam Molyneux studied cancer genomics at the Ontario Cancer Institute at Princess Margaret Hospital in Toronto.[4][6] The service was developed with the intention of curating the millions of articles in the area of academic publishing.[1][2][3][6][7][8]
As of September 2016, Meta has analyzed over 26 million papers and profiled 14 million researchers.[9] The company has struck deals with publishers in science, technology and mathematics fields, which give the company access to full-text versions of more than 18,000 journals. Using machine reading and natural language processing, Meta scans articles - as well as the millions of articles stored in open-access repositories - collecting information about authors, citations and topics. The participating publishers receive exposure for their journals in return.[10] The American Medical Association, BioMed Central, Elsevier, Karger, Sage Publishing, Taylor & Francis, and Wolters Kluwer, and the Royal Society, are among their full text–mining partners.[11][12]
Features and specifications[edit]
Meta includes coverage of the biomedical sciences with real-time updates from PubMed and other sources.[1][13][14] The website provides access to over 22 million papers with publication dates as early as the 1800s.[7][8] By sifting through papers and learning from user behavior, the service pinpoints key pieces of research and provides relevant search results.[2] Meta also provides visualizations about a field of research by organizing papers by their date of publication and citation count and then presenting the information in such a way that allows users to quickly identify key historical papers.[4]
The Meta Science research platform uses intelligent algorithms that allow users to sort new publications according to subject matter.[1] Users can subscribe to feeds for areas of research including biology, genes, diseases, genetic disorders, drugs, people, labs & institutes, and journals.[1][6][13]
References[edit]
- ^ a b c d e Darrell Etherington (June 16, 2013), Sciencescape Wants To Solve Academic Research Discoverability, Deal With The Noise Problem, TechCrunch, retrieved January 12, 2014
- ^ a b c Sciencescape aims to sift through snowballing science research, Wired.co.uk, retrieved January 12, 2014
- ^ a b Candice So (June 13, 2013), Sciencescape cataloguing research papers everywhere, one essay at a time, itbusiness.ca, retrieved January 12, 2014
- ^ a b c The Data Visualizers, MaRS Commons Magazine, retrieved January 12, 2014
- ^ "Meta Launches Universal Machine Intelligence Platform to Unite the Fragmented Scientific Information Ecosystem". MarketWatch. Retrieved 2015-11-19.
- ^ a b c Mashoka Maimona (June 13, 2013), Tech companies make final pitches at Extreme Startups 2013 demo day, Financial Post, retrieved January 12, 2014
- ^ a b Hazman Aziz (June 26, 2013), Sciencescape -- A new kid on the block, Hazman Labs, inc, retrieved January 12, 2014
- ^ a b Vaibhav (June 18, 2013), Sciencescape in the Future of Scientific Research, TechnoGiants, retrieved January 12, 2014
- ^ About Meta, Meta, September 13, 2016, retrieved September 13, 2016
- ^ Carl Straumsheim (May 10, 2016), Predictive Analytics for Publishing, Inside Higher Ed, retrieved September 12, 2016
- ^ Teri Tan (April 29, 2016), Digital Solutions in India 2016: Big Data and AI with Meta, Publishers Weekly, retrieved September 12, 2016
- ^ Partners, Meta, September 12, 2016, retrieved September 12, 2016
- ^ a b Under The Hood, Sciencescape.org, retrieved January 12, 2014
- ^ Darrell Etherington (June 13, 2013), Extreme Startups Demo Day Wrap Up: Canadian Startups Make A Strong Showing, TechCrunch, retrieved January 12, 2014
