What is Semantic Technology?

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Introduction

What is Semantic Technology?

Web standards to manage data

In fact we should say “Semantic Web Technology”, quite a mouthful!

In short, Semantic Technology refers to a set of web standards like

RDF, OWL and SKOS, governed by W3C. We apply these standards in

web as well as non-web environments.

Because we believe it brings solutions that were not possible before in

the domain of Data Management.

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What is Semantic Technology?

Basic principle

The basic principle of Semantic Technology is to encode the meaning

of data separately of the data itself.

The meaning –or semantics – is captured in a model, typically an

ontology. This model offers a kind of dictionary of how to understand

the data.

Advantages of Semantic Technology

Flexibility

This pragmatic approach - of coding the meaning of data separately

from the data itself - offers great flexibility.

The model can be changed without touching the data. No messing

about with tables, no need to adjust rows and columns.

An advantage that will more and more become a necessity in today’s

ever-changing reality.

Advantages of Semantic Technology

Interoperability

Moreover these standards ensure true interoperability of the data. To

exchange your data with the world, or just with a partner. To combine

your data with the information online, and extract knowledge out of it.

The possibilities are endless.

Advantages of Semantic Technology

Reasoning

Since the meaning of the data is coded, software now understands

what your data is about. This allows for reasoning, referring to

techniques that have been applied in Knowledge Management since

decades.

In this way you can still get relevant information out of huge piles of

data. And that scales down the human effort in managing data, a true

necessity with the exponential growth of information nowadays.