First, this presentation will give a general introduction to semantic technologies. After that, we'll discuss the practices and experiences we gained from two projects in two very different domains using semantic technology (RDF and ontologies):
Target Audience: Architects and developers
Prerequisites: Basic knowledge in information modelling
You will learn:
* Introduction to semantic technologies in an enterprise environment
* How semantic technologies can address complexity and flexibility in a better way than traditional database approaches
* Our lessons learned from using semantic technologies (drawbacks of semantic technologies, some pitfalls and errors we made)
This presentation will give a general introduction to semantic technologies, before we dive into the practice and experiences we gained from two projects. These two projects address two very different requirements in very different domains, but nevertheless they share the two keywords complexity and flexibility:
* The first project, at a large governmental institution, handles the complex and ever changing organization information structure.
* The second project handles the large data information flow coming out of the Norwegian oil and gas fields, processes the information and reports it back to central stakeholders in a flexible and customizable manner.
Semantic technologies make it possible to adjust the information model to new and changing requirements, and to reason over its content and report on it even when the information model becomes more and more complex. But that doesn't mean that semantic technologies is the solution to everything, and this presentation will give an overview over the problems and challenges we met, and when semantic technologies should not be used.