Subscribe to DSC Newsletter

All Blog Posts Tagged 'semantic' (12)

Implementing Knowledge Graphs in Enterprises - Some Tips and Trends

Tips

  1. Don't try to put the cart before the horse: realize that efficient data preparation (and thus interoperable standards) and data quality, especially in the enterprise environment, are a basic requirement for…
Continue

Added by Andreas Blumauer on May 21, 2019 at 5:33am — No Comments

Six Core Aspects of Semantic AI

  1. Hybrid approach: Semantic AI is the combination of methods derived from symbolic AI and statistical AI. Virtuously playing the AI piano means that for a given use case various stakeholders, not only data scientists, but also process owners or subject matter experts, choose from available methods and tools, and collaboratively develop workflows that are most likely a good fit to tackle the underlying problem. For example, one can combine entity extraction based on…
Continue

Added by Andreas Blumauer on May 14, 2018 at 4:30am — 2 Comments

Why Cognitive Systems should combine Machine Learning with Semantic Technologies

Will Artificial Intelligence make subject matter experts obsolete?

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

Added by Andreas Blumauer on August 28, 2017 at 3:00am — 1 Comment

A Standard to build Knowledge Graphs: 12 Facts about SKOS

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)…

Continue

Added by Andreas Blumauer on August 28, 2017 at 3:00am — No Comments

Introducing a Graph-based Semantic Layer in Enterprises

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…

Continue

Added by Andreas Blumauer on September 1, 2016 at 12:00am — No Comments

PoolParty Releases Enhanced Version of its Semantic Middleware

PoolParty Semantic Suite is now including improved machine learning capabilities to support most critical knowledge engineering tasks. PoolParty 5.5 now represents a complete stack of standards-based technologies to be used as an enterprise middleware for cognitive computing platforms, according to Andreas Blumauer, PoolParty CEO.
The product is…
Continue

Added by Andreas Blumauer on September 1, 2016 at 12:00am — No Comments

Semantics Approach to Big Data and Event Processing - full content from 3 day in-depth tutorial

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.…

Continue

Added by Amit Sheth on November 5, 2015 at 8:30am — No Comments

SPARQL is the new King of all Data Scientist’s tools

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

Semantic Data Modeling For Fun and Profit

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…

Continue

Added by Kurt Cagle on August 8, 2015 at 2:30pm — No Comments

Its Time to Unleash the Semantic Layer

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…

Continue

Added by ajoabraham on June 25, 2015 at 7:00am — No Comments

Big Data, Meet Dynamic Semantic Publishing: Altering the Media & Publishing Landscape

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

The Hype Around Graph Databases And Why It Matters

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…

Continue

Added by Tony Agresta on April 7, 2015 at 6:45am — 4 Comments

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service