FIND. EXTRACT. PREDICT.
Probably most of the scientific information is captured in tables – for example in US patents from 2001-2017 we have extracted more than 10 million tables containing interesting properties on materials and compou... read more
A lot of scientific information is captured in images – we are using machine learning techniques such as deep neural networks to classify images. For example, we have applied transfer learning to train a deep co... read more
A first publication describing the classification of chemical patents using OntoChem’s OCMiner® has appeared in the new journal Pharmaceutical Patent Analyst, 2013, 2, 2046, “Ontology-based content analysis of US patent applications... read more