Getting semantic search to work efficiently – the white paper
Semantic search has been on the radar for quite some time now. And truth be told, many have talked the talk but few have been seen to walk to walk. The challenge? Semantic search has been used mainly by academics and experts, but there simply weren’t enough workable solutions accessible to common users. But that’s all changing now with our semantic search platform DISQOVER.
How we do this, can be discovered in our latest white paper, co-authored with Dr. Bhanu Bahl (Director at Harvard Catalyst | The Harvard Clinical and Translational Science Center), Dr. Filip Pattyn (Scientific Lead at ONTOFORCE) and myself.
The components of semantics
Semantic search is one of the key technologies to resolve big data challenges. By combining ontologies, linked data and graphical visualizations, smarter search results can be derived faster and in a much more user-friendly manner. You no longer need to be a data scientist to uncover deep results spread out over disparate databases. Literally everybody can become a data scientist.
In our joint white paper with Harvard Catalyst, we unravel the inner workings of semantics and explain how this leads to concrete results for researchers working at a global biotech company.
The topics covered
- On Big Data
- What is semantic search?
- A practical use case
- The advantages of semantic search
- The three key components of semantic search
- Linked data
- Navigable visualization
To the white paper!
You can download our white paper ‘Semantic Search – From Big Data To Smart Knowledge’ for free!