This page has not been translated into English
Juha Kortelainen, Research Scientist from VTT presents his dissertation "Semantic Data Model for Multibody System Modelling" at the Technical University of Lappeenranta on 19th August, 2011.
Technological evolution has rapidly transformed the world. We are now heading into a new era of information and knowledge. Humankind is producing data and information at a continuously increasing speed and, instead of finding information in general, the challenge is how to distil the desired information and knowledge out of the data masses. The development of information technology, including progress in algorithms, computational methods and computer hardware, has provided us with new tools to search and analyse the data masses. Data semantics, i.e. managing the meaning of the data, is one of the most promising methods for answering this challenge.
From the standpoint of product development, the interaction between computational tools can be cumbersome. For this reason, multibody system simulation is often excluded from the mainstream of product development. But due to the increase in computational resources, the trend is towards extensive usage of simulation, including multibody system simulation, in product development. This increases the pressure to improve data management in multibody system simulation as well.
This doctoral thesis focuses on combining new methods for data and knowledge management and system simulation. The former provides solutions to the challenges rising from the latter in order to ensure further improvements in the overall efficiency of applying computational methods for purposes such as product development.
The main contributions of this work can be summarised as follows: it
introduces a procedure for managing multibody system modelling data using a
semantic data model and ontology-based modelling approach, demonstrates that
the semantic data model allows application-based reasoning on the model data,
and shows that ontology-based modelling is able to capture domain knowledge by
using semantic data and constraint- and rule-based reasoning.
+358 20 722 4237