2.5 hours a day – the amount of time a knowledge worker spends on average searching for information. Knowledge-intensive employees (like lawyers, researchers, etc.) may spend up to 70% of a workday on search. We’ve revolutionized the way people can search for information with new technology.
You no longer need to spend hours on studying various subjects to extract required information. Our custom AI and machine learning based algorithms analyze large volumes of texts to extract meaning of separate fragments, explore different topics and how they are related to each other and to a user’s context.
As a Proof-of-Concept we’ve analyzed Wikipedia and represented its entire text corpse as a navigable map with dots (topics), connections between them and subject areas they form, based on their semantic proximity – not on links.
The same approach was used to analyze the recently released COVID-19 Open Research Dataset (CORD-19) to demonstrate large biomedical text collection navigation. Please check our WEB DEMO and read extended tutorial on main principles of semantic navigation and exploratory search.
What makes it powerful?
Who can benefit from semantic search?
- Legal workers
- Research institutes
- R&D companies & departments
- Patent bureau and service agencies
- Business consulting and analytics companies
- Market research & advisory firms