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Andreas Blumauer's Blog (10)

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…
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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…
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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…

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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)…

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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…

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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…
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Added by Andreas Blumauer on September 1, 2016 at 12:00am — 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…

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Added by Andreas Blumauer on September 9, 2015 at 11:23pm — No Comments

Introducing the Linked Data Business Cube

Tassilo Pellegrini from Semantic Web Company has published a new report which outlines business models for Linked Data including a case study of the publishing house and information service provider Wolters Kluwer:

"With the increasing availability of semantic data on…

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Added by Andreas Blumauer on December 1, 2014 at 11:30pm — No Comments

Linked Data meets Data Science

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:

  • How to extract meaningful information from large amounts of data?
  • How to connect pieces of information to other pieces in…
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Added by Andreas Blumauer on October 28, 2014 at 12:27am — No Comments

SKOS as a Key Element in Enterprise Linked Data Strategies

The challenges in implementing linked data technologies in enterprises are not limited to technical issues only. Projects like these deal also with organisational hurdles to be crossed, for instance the development of employee skills in the area of knowledge modelling and the implementation of a linked data strategy which foresees a cost-effective and sustainable infrastructure of high-quality and linked knowledge graphs. SKOS is able to play a key role in enterprise linked data strategies…

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Added by Andreas Blumauer on September 21, 2014 at 10:22pm — No Comments

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