Knowledge Organisation

Thursday, September 13, 2018 - 15:00 to 16:00
Grandwaterfront Hall


Using Semantic Technology to Solve Sparse Training Material Problem in Machine Learning for Classification of Company Websites

Starting in 2015 ds9 has been developing a large SEARCHCORPUS of companies in the Bio Sciences market for Boehringer Ingelheim. This Biotech Companies SEARCHCORPUS is optimized on an ongoing base to allow data scientists to quickly find licensing opportunities, acquisition targets and new technological developments of competitors.
Comprising a collection of  > 10 Mio. pages from approx. 50.000 corporate websites even highly specific expert searches result in hundreds of potential targets that need to be verified manually.

Building Bridges - linking structured to unstructured data

How one can link structured to unstructured data to get a holistic view and generate more insights.

Today, structured data is typically well managed and easy to discover. The existing methodologies to store, link and retrieve structured data are very mature. However, the more unstructured it gets the harder it is to make the most out of data. Although storage, search and retrieval are also quite mature, linking unstructured to structured data is still very difficult. Semantic technologies allow bridging the gap between both worlds.