Undoubtedly, cognitive computing and machine learning are going to shape knowledge management, as we know it. This gives rise to a very fundamental question, what to do about it?
Does a semantic indexing system based on the title equal the performance of a system based on the full-text if the number of samples for training the title-based method is much larger than the number of full-text samples? The answer is important, as it will deepen our understanding of the implications for automatic semantic indexing systems in digital libraries of scientific content. So, Florian Mai, Lukas Galke and Ansgar Scherp set out to find the answer.
The fact that graph is now in the limelight is at least to some extent because of Marko A. Rodriguez—a man who has spent his entire career working in the graph space. His story hints at what could be coming next—a database virtual machine.
Unless you have a Voyager-like mind, in all probability, you will be overwhelmed by the size of the information universe, especially when you are seeking a truth.
To what should we attribute the increase in adoption and commercial success of graph technology? The answer—belief in relationships.