Semantic data model in multibody system simulation

Juha Kortelainen, Aki Mikkola

    Research output: Contribution to journalArticleScientificpeer-review

    5 Citations (Scopus)

    Abstract

    This article introduces an approach for using a semantic data model and knowledge representation technologies in the data management of multibody system simulation. This is accomplished by developing a semantic ontology for multibody system modelling. As an example of semantic ontology modelling, the introduced approach is applied to a simple double-pendulum model. The purpose of the example is to demonstrate that multibody system simulation data can be expressed using semantic data representation. In addition, semantic data representation enables a general and straightforward application integration solution for design tools and other information systems typically involved in the industrial product design process. It is also important to note that this approach enables knowledge of the domain of interest to be stored together with the modelling data. By including rules and constraints with the data and applying a semantic reasoning methodology, the apparent intelligence of the stored data is increased.
    Original languageEnglish
    Pages (from-to)341-352
    Number of pages12
    JournalProceedings of the Institution of Mechanical Engineers Part K: Journal of Multi-body Dynamics
    Volume224
    Issue number4
    DOIs
    Publication statusPublished - 2010
    MoE publication typeA1 Journal article-refereed

    Keywords

    • multibody application
    • data management
    • semantic data model

    Fingerprint Dive into the research topics of 'Semantic data model in multibody system simulation'. Together they form a unique fingerprint.

  • Cite this