B - How the fingerprint is made
Last modified by Iris Admin on 2020/11/30 16:13
When you search with the Explore tool, the Iris.ai core machine extracts the key words from the problem description and enriches them with their contextual synonyms and topic words to build a contextual ‘fingerprint’ which is matched with any content collection or database of scientific text the tool is connected to. This allows the user to match a self-written problem statement or an article up against all available research papers, patents and other scientific text sources to find the most relevant knowledge and quickly map out the landscape of research around the problem.