The depth of the construction of artificial intelligence search engine, semantic scholar and Microso ekdv-273

The depth of | construction of artificial intelligence academic search engine, Microsoft Semantic Scholar and Google to challenge Sohu technology selected from Nature Author: Nicola Jones machine of the heart: Li Zenan Cao Rui, compiled in artificial intelligence search engine "Semantic Scholar" by Alan artificial intelligence agency CEO Oren Etzioni led the research. Semantic, a free search engine based on artificial intelligence, has just announced that it has covered 10 million Scholar papers on computer science and neuroscience. This search engine aims to use more advanced technology to build a set of intelligent academic search engine, and beyond Google academic. Since its release in November last year, Semantic Scholar appeared to expand the camp of artificial intelligence search engine, and in these search tools, the most eye-catching is the re on-line Microsoft academic. The Semantic Scholar search at the Alan Institute for artificial intelligence (AI2), a nonprofit organization based in Seattle, has just released a new version at the annual meeting of neuroscience and has been welcomed by scientists. "It will change the rules of the game," said Huberman, a professor of Neurobiology at the Stanford University, Andrew. "Now that the information in the academic world is so complex that with this search engine, the work of scholars will be guided. The search engine, which was released in November 2015, has claimed that its search rankings are based on a complex approach to content and context. Currently the most popular academic search Google academic links can be 200 million documents, but also cover the content paid. However, Google tools depends on the keyword, and the content and influence of search results is limited; however, Semantic Scholar is different, its search results display content and search word correlation exists in the article, the ranking of the reference speed — increased in the end of this article is more popular. Semantic Scholar just on the line can only retrieve 3 million papers in the field of computer science. With the help of AI2 brothers, the content of search engines is increasing. The Alan Institute for brain science has added millions of neuroscience and medical papers to it and added a new filters. These filters allow users to search in areas of subdivision, such as specific parts of the brain, specific cells in the brain, which model organisms to study and what methods to use. "Next year, the goal of AI2 is to index all the contents of the PubMed (PubMed contains more than 26 million MEDLINE from the biomedical literature, life science journals and online books), and will extend coverage to all segments of the medical. "Etzioni Oren said. Currently, this search cited n相关的主题文章: