Tags / 5 quotes from 5 sources
#analytics
Building The Linkedin Knowledge Graph | Linkedin Engineering
Generating analytics and insights from a knowledge graph
Additional knowledge can be inferred on top of the standardized knowledge graph, generating insights for business and consumer analytics. For example, by conducting OLAP to selectively aggregate graph data from different points of view, we can generate real-time insights such…
Events And Presentations | University Of Technology, Sydney
Learning analytics
In December 2013, Professor Shirley Alexander was delighted to host a visit by Professor Simon Buckingham Shum. Simon is Professor of Learning Informatics at the UK Open University’s Knowledge Media Institute (KMi), an 80-strong lab at the convergence of learning sciences, web…
How Books Will Become Machines
Reading analytics
The transformation of the readers’ behavior into data in- augurates the new domain of reading analytics. Reading patterns can now be analyzed, compared and maybe predicted. Through this process they also gain a commercial value. Gathering and reselling reading logs and…
Topquadrant Q2-2015 Issue
Information governance
Information governance continues to be the main area of focus for our customers. The growth of complex, diverse data from multiple sources can make governance more difficult. At the same time, growing business reliance on data and analytics creates demands on systems to deliver…
Understanding Digital Humanities (david M. Berry)
Manovich’s cultural analytics concept
Manovich’s paper, Cultural Analytics: Annual Report 2010, provides an update on his ongoing project of using visualisation techniques (computationally based) to explore cultural data – giving the examples of over a million manga pages, and every Time magazine cover since issue…