Get your organization's feet wet with Semantic Web

Heard rumors about the Semantic Web, Linked Data, RDF, data graphs …or how some quack alternative approach should make all that data serve your business any better?

Well, if you are curious about breaking the code, then look no further! We intend to give you key footing, so that you can return home and actually begin to UNLOCK it yourself! Yes, that is a huge promise, but we happen to believe so, from experience.

Please note: We will NOT try to teach you «everything». This tutorial presents an adaptable and manageable cookbook recipe, just enough to remove the mystery.

One clue: If you have the chance then bring a colleague, – someone different from yourself. If you’re a business person, bring a techie – or vice versa. Why? For success, both profiles are required.

André Torkveen works on making data more manageable for a growing number of his Aker Solutions colleagues. Jens Kilde Mjelva and Magnus Stuhr implement solutions that enable the same thing, but work as ‘hired guns’, on commission from Computas.

How to measure information and data quality

The Information Age has changed business processes profoundly. It has changed culture, and it has changed the way decisions are taken. As the dependence on information increases every day, the requirement of known data quality has never been more critical.

In this tutorial you will learn how to measure information and data quality. The tutorial will reflect the principles in the emerging ISO 8000-8 standard and how these may be realized.


  • Industry requirements
  • Academic foundation
  • Illustrating examples including
  • Practical exercises

Target group

  • The first part of the tutorial is targeting those with a vested interest in information or data quality.
  • The second part is for those with hands-on experience from data bases and data handeling in general.


Norwegian Defence in the role of purchasing data and Det Norske Veritas in the role of verifier and certifier have together developed and practiced methods for measurement and analyze data and information quality.

Tor Arne Irgens

Tor Arne Irgens is head of Product Life Cycle Support section in the Norwegian Defence Logistics Organization. He is active in several standardization efforts, including OASIS and ISO, developing and maintaining standards for exchange of logistics information. He is project leader for part 8 and 9 of ISO 8000.

Trine Hansen

Trine Hansen is in charge of Det Norske Veritas’s (DNV) Information Quality Management activities. She has long experience from the oil and gas industry and the defence industry. She has been active in standardization efforts, and is a co-editor of the upcoming ISO 8000 part 8 and part 9.

Interacting with Linked Data – a tutorial with OWLIM and Information Workbench

Many organisations are nowadays building applications which utilise Semantic Technologies for more efficient information management and low-costs integration of large Open Data sets published as Linked Data.

In this tutorial we will provide an introduction to the key Semantic Technologies and practically illustrate the means to manage and build applications with Linked Data. We will introduce the data model, inference, and the query approach of the Linked Data stack using Linked Open Data with practical examples. Furthermore, the tutorial will provide a brief overview of current visualization tools and techniques, and applications for presenting Linked Data to the end user. We will also describe existing search options, including faceted search, concept-based search and hybrid search, based on a mix of using semantic information and text processing.

We will demonstrate the use of the OWLIM RDF database for Linked Data management together with the Information Workbench to demonstrate how real-world applications utilising faceted and hybrid search can be built and how Linked Data can be synthesized and processed in Business Intelligence-based scenarios.


Linked Data, RDF, SPARQL, visualization, querying, search, OWLIM, Information Workbench, Open Data

Target group

Intermediate - Required understanding of database systems, web technologies and some basic understanding of Semantic Web technologies


  • Marin Dimitrov (Ontotext)
  • Peter Haase (fluidOps)
  • Michael Meier (fluidOps)
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