Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 7 of 636
Back to Result List

A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses

  • Integrating physical simulation data into data ecosystems challenges the compatibility and interoperability of data management tools. Semantic web technologies and relational databases mostly use other data types, such as measurement or manufacturing design data. Standardizing simulation data storage and harmonizing the data structures with other domains is still a challenge, as current standards such as the ISO standard STEP (ISO 10303 ”Standard for the Exchange of Product model data”) fail to bridge the gap between design and simulation data. This challenge requires new methods, such as ontologies, to rethink simulation results integration. This research describes a new software architecture and application methodology based on the industrial standard ”Virtual Material Modelling in Manufacturing” (VMAP). The architecture integrates large quantities of structured simulation data and their analyses into a semantic data structure. It is capable of providing data permeability from the global digital twin level to the detailed numerical values of data entries and even new key indicators in a three-step approach: It represents a file as an instance in a knowledge graph, queries the file’s metadata, and finds a semantically represented process that enables new metadata to be created and instantiated.

Download full text files

Export metadata

Additional Services

Search Google Scholar Check availability

Statistics

Show usage statistics
Metadaten
Document Type:Article
Language:English
Author:Philipp Spelten, Morten-Christian Meyer, Anna Wagner, Klaus Wolf, Dirk Reith
Parent Title (English):Information
Volume:15
Issue:1
Article Number:21
Number of pages:19
ISSN:2078-2489
URN:urn:nbn:de:hbz:1044-opus-77012
DOI:https://doi.org/10.3390/info15010021
Publisher:MDPI
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2023/12/29
Copyright:© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Keyword:CAE metadata structures; data management; ontology; semantic technologies; simulation process
Departments, institutes and facilities:Fachbereich Ingenieurwissenschaften und Kommunikation
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten
Entry in this database:2024/01/09
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International