Semantic Scholar

In November 2015 Semantic Scholar was launched at the Allen Institute for Artificial Intelligence (AI2), which indexes Open Access publications in the field of computer science. Semantic Scholar focuses on the semantic analysis of full text content. It uses Natural Language Processing, Data Mining and Machine Learning techniques to "understand" the content of full texts. Keywords and phrases captured from the full texts are used to display publications with the same keywords, similar to the "More from this" idea.

Furthermore, it is determined which references given in the sources use the same keywords and citations and therefore may have had a high influence on a publication. In addition, the images and graphics are extracted from the full texts and displayed on the result page.

Language English

Launched November 2, 2015
Closed No

Developer Allen Institute for Artificial Intelligence (AI2)

Country of Origin US America

2015 - [...] Allen Institute for Artificial Intelligence (AI2)

Topic Academic, Scientific or Educational Search engine

Region No Limitation

Technical functionalities
AI-based search engine

Used SeEn Semantic Scholar

Older Version Internet Archive / WebCite


Critical points

Features & Functionality


Result page Source

References & further Publications

Wikipedia (EN):
Wikipedia (Others): n.a.

Other Sources

JACOB DEMMITT (November 2, 2015): Paul Allen’s AI2 launches search engine designed specifically for scientists URL:
Ariana Eunjung Cha (November 2, 2015): Paul Allen’s AI research group unveils program that aims to shake up how we search scientific knowledge. Give it a try. URL:
Nicola Jones (11 November 2016): AI science search engines expand their reach : Semantic Scholar triples in size and Microsoft Academic's relaunch impresses researchers. URL:
Amanda DiSilvestro (2017): 6 innovative new search engines to keep an eye on URL:
John Bohannon (2016): A computer program just ranked the most influential brain scientists of the modern era URL:
CADE METZ (2016): Allen Institute for AI Eyes the Future of Scientific Search URL:
Carl Engelking (2016): Scientists Are Drowning, Artificial Intelligence Will Save Them URL:
Luther, J. (2016). Discovery in an age of artificial intelligence. Learned Publishing, 29(2), 75–76. URL:
Clark, C. & Divvala, S. (2016). PDFFigures 2.0: Mining Figures from Research Papers. In Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries - JCDL ’16 (S. 143–152). URL:

Created: 2015-12-19