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Newsflash

Make knowledge do the job

Plea for a pragmatic approach in applying new technologies and methods

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In life, interesting encounters take place at the borders of different ecosystems. There the interaction can benefit all parties most.

In professional life, such borderlines exist within developing technologies and methodologies. Examples are semantic technologies, enterprise architectural frameworks, service oriented architectures and many others. Within these groups in development different definitions and purposes are advocated. Often lots of time is put (wasted?) in academic discussions, not the least driven by personal sensitivity. After the storm accompanying the birth of a novelty is laid down, borderlines still pop up but spread into time and evolving at a slower pace: the technology becomes mature.

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What are the justifications for semantic web technologies?

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In this website we present semantic web technologies, merely applied to controlled data, as a solution for different use cases.

The justification is not: "that's nice, lets promote some novelty now".
On the contrary, the process to propose semantic web technology solutions for our use cases, went inversely:

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What is the difference between semantic and traditional applications?

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Semantic- and traditional applications differ in many aspects.

Hereby the listing of those differences:

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What is an ontology?

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1. In knowledge management

An ontology describes knowledge of a specific domain through concepts in their relation to other concepts.

In other words, an ontology is a management system of knowledge.

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What are the impacts of implementing semantic technologies?

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1. Operational management impacts

  1. Better production control
  2. Less risks
  3. Better knowledge accessible by everyone who needs that information
  4. No difference between functional datamodel and technical datamodel
  5. Learning from the actual data: datamining gets a new meaning
  6. The functional analysis meets the production model

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