Tips
Added by Andreas Blumauer on May 21, 2019 at 5:33am — No Comments
Added by Andreas Blumauer on May 14, 2018 at 4:30am — 2 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…
ContinueAdded by Andreas Blumauer on August 28, 2017 at 3:00am — 1 Comment
These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning and cognitive computing efforts. For many of those, it remains still unclear where to start. SKOS offers a simple way to start and opens many doors to extend a knowledge graph over time.
1)…
ContinueAdded by Andreas Blumauer on August 28, 2017 at 3:00am — No Comments
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
Added by Andreas Blumauer on September 1, 2016 at 12:00am — No Comments
Variety, Velocity, Volume and Veracity are the four Vs for Big Data. Most of the technologies available have shown how to treat the Volume. However, due to the increasing number of streaming data sources, the Velocity problem is as relevant as never before. Moreover, Veracity and especially Variety problems have increased the difficulty of the challenge.…
ContinueAdded by Amit Sheth on November 5, 2015 at 8:30am — 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…
ContinueAdded by Andreas Blumauer on September 9, 2015 at 11:23pm — No Comments
Data modeling is usually one of those subjects that make people's eyes glaze over. It's not really programming, though understanding programming concepts such as objects, inheritance, polymorphism and similar multisyllabic words is usually helpful to do modeling. It's not a business analyst function, though most BAs end up participating in the modeling process. Perhaps the best way of thinking about modeling is to see it as a way to describe a business in clearly defined pieces.
From…
ContinueAdded by Kurt A Cagle on August 8, 2015 at 2:30pm — No Comments
This post first appeared on the i Think blog.
What is the semantic layer you ask?
The semantic layer is the underpinning of modern business intelligence platforms. Vendors with robust semantic capabilities command more than 50% of a $14…
ContinueAdded by ajoabraham on June 25, 2015 at 7:00am — 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…
ContinueAdded by Tony Agresta on April 28, 2015 at 3:29am — No Comments
Organizations are struggling with a fundamental challenge – there’s far more data than they can handle. Sure, there’s a shared vision to analyze structured and unstructured data in support of better decision making but is this a reality for most companies? The big data tidal wave is transforming the database management industry, employee skill sets, and business strategy as organizations race to unlock meaningful connections between disparate sources of…
ContinueAdded by Tony Agresta on April 7, 2015 at 6:45am — 4 Comments
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