Added by Andreas Blumauer on May 21, 2019 at 5:33am — No Comments
Imagine you want to build an application that helps to identify wine and cheese pairings. Who will perform best? Applications solely based on machine learning, those ones which are based on experts' knowledge only, or a combination of both?
Most of the machine learning algorithms were…Continue
Things, not Strings
Entity-centric views on enterprise information and all kinds of data sources provide means to get a more meaningful picture about all sorts of business objects. This method of information processing is as relevant to customers, citizens, or patients as it is to knowledge workers like lawyers, doctors, or researchers. People actually do not search for documents, but rather for facts and other chunks of information to bundle them up to provide answers to…
Added by Andreas Blumauer on September 1, 2016 at 12:00am — No Comments
Inspired by the development of semantic technologies in recent years, in statistical analysis field the traditional methodology of designing, publishing and consuming statistical datasets is evolving to so-called “Linked Statistical Data” by associating semantics with dimensions, attributes and observation values based on Linked Data design principles.
The representation of datasets is no longer a combination of magic words and numbers. Everything is becoming…Continue
Added by Andreas Blumauer on September 9, 2015 at 11:23pm — No Comments
How many times a day do we ourselves, or hear someone else, utter the phrase “Google it”? It’s hard to imagine that a phrase so ubiquitous and universally understood has been around for less than two decades. The word “Google” has become synonymous with online search, and when we think about why this, it’s because Google yields the most relevant, comprehensive results, quickly. Essentially, it has changed the way we find and interact with content and information.
We’ve seen the…Continue
Added by Tony Agresta on April 28, 2015 at 3:29am — No Comments
As a long-term member of the Linked Data community, which has evolved from W3C's Semantic Web, the latest developments around Data Science have become more and more attractive to me due to its complementary perspectives on similar challenges. Both disciplines work on questions like these:
Added by Andreas Blumauer on October 28, 2014 at 12:27am — No Comments