Summary of Shennongalpha: An Ai-driven Sharing and Collaboration Platform For Intelligent Curation, Acquisition, and Translation Of Natural Medicinal Material Knowledge, by Zijie Yang et al.
ShennongAlpha: an AI-driven sharing and collaboration platform for intelligent curation, acquisition, and translation of natural medicinal material knowledge
by Zijie Yang, Yongjing Yin, Chaojun Kong, Tiange Chi, Wufan Tao, Yue Zhang, Tian Xu
First submitted to arxiv on: 27 Dec 2023
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Databases (cs.DB); Information Retrieval (cs.IR)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers tackle the challenge of sharing knowledge about Natural Medicinal Materials (NMMs), a significant source for drug discovery and clinical applications. The team developed ShennongAlpha, an AI-driven platform for intelligent knowledge curation, acquisition, and translation. The platform features a systematic nomenclature for accurate identification and differentiation of NMMs, with over 14,000 Chinese NMMs curated so far. Additionally, the platform enables chat-based knowledge acquisition, standardized machine translation, and collaborative updating. This breakthrough in AI applications not only advances scientific understanding but also benefits global biomedical, pharmaceutical, physician, and patient communities. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary ShennongAlpha is a special computer program that helps scientists share information about natural medicines. These medicines have been used for a long time to help people get better. But sharing this information has some big problems like using the right words to describe things, getting all the facts in one place, and languages not matching up. The team behind ShennongAlpha solved these problems by creating a special way of naming natural medicines so they can be easily found and understood. They also made it possible for scientists to chat with each other about what they know, translate it into different languages, and update their knowledge together. This is a big step forward in using computers to help scientists share what they know. |
Keywords
» Artificial intelligence » Translation