In 1676 Isaac Newton said “If I have seen further, it is by standing on the shoulders of giants.”
In theory, this is something that we in the science based industries should all be aiming to do – learn from and extend the discoveries of those who have come before us. In practice however, can be easier said than done. The increase in the volume of data being generated everyday makes it ever more difficult to categorise, process and understand it.
Through text analytics, natural language processing and data visualisation we now possess the ability to quickly and efficiently link technology from across industries via language. By establishing relationships between technical language (by analysing patents and technical papers for example ), we can increase the probability of finding existing solutions to our problems without going back to first principles time and again.
Technology Search Case Study
Endellion recently conducted a technology search for a QLD-based company developing a sustainable process for extracting oil from oil shale.
Our client wanted to confirm they had selected the most practical and energy efficient drying technologies available for immediate application to both oil shale lumps and fines. By analysing and comparing the language contained within patents, Endellion constructed a network of drying technologies not only from the oil shale industry, but across the energy and resources, food and industrial sectors in order to identify as many alternate drying solutions as possible.
Endellion Consulting’s Data Collision technique confirmed the validity of our client’s technology search and selection, and also provided alternate solutions for future consideration.
- 0+patents scanned in less than 5 working days
- 0xfaster and more accurate results delivered
- 0+market segments identified & reviewed