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 storag...

Full description

Bibliographic Details
Main Authors: Philipp Spelten, Morten-Christian Meyer, Anna Wagner, Klaus Wolf, Dirk Reith
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/15/1/21
_version_ 1797343398961610752
author Philipp Spelten
Morten-Christian Meyer
Anna Wagner
Klaus Wolf
Dirk Reith
author_facet Philipp Spelten
Morten-Christian Meyer
Anna Wagner
Klaus Wolf
Dirk Reith
author_sort Philipp Spelten
collection DOAJ
description 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.
first_indexed 2024-03-08T10:47:01Z
format Article
id doaj.art-36198f866e5b4b539d5b5b6433bf4b5f
institution Directory Open Access Journal
issn 2078-2489
language English
last_indexed 2024-03-08T10:47:01Z
publishDate 2023-12-01
publisher MDPI AG
record_format Article
series Information
spelling doaj.art-36198f866e5b4b539d5b5b6433bf4b5f2024-01-26T17:03:41ZengMDPI AGInformation2078-24892023-12-011512110.3390/info15010021A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented AnalysesPhilipp Spelten0Morten-Christian Meyer1Anna Wagner2Klaus Wolf3Dirk Reith4Fraunhofer-Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53757 Sankt Augustin, GermanyFraunhofer-Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53757 Sankt Augustin, GermanyPROSTEP AG, Dolivostr. 11, 64293 Darmstadt, GermanyFraunhofer-Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53757 Sankt Augustin, GermanyFraunhofer-Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53757 Sankt Augustin, GermanyIntegrating 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.https://www.mdpi.com/2078-2489/15/1/21ontologysimulation processdata managementCAE metadata structuressemantic technologies
spellingShingle Philipp Spelten
Morten-Christian Meyer
Anna Wagner
Klaus Wolf
Dirk Reith
A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses
Information
ontology
simulation process
data management
CAE metadata structures
semantic technologies
title A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses
title_full A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses
title_fullStr A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses
title_full_unstemmed A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses
title_short A Methodology for Integrating Hierarchical VMAP-Data Structures into an Ontology Using Semantically Represented Analyses
title_sort methodology for integrating hierarchical vmap data structures into an ontology using semantically represented analyses
topic ontology
simulation process
data management
CAE metadata structures
semantic technologies
url https://www.mdpi.com/2078-2489/15/1/21
work_keys_str_mv AT philippspelten amethodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT mortenchristianmeyer amethodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT annawagner amethodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT klauswolf amethodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT dirkreith amethodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT philippspelten methodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT mortenchristianmeyer methodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT annawagner methodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT klauswolf methodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses
AT dirkreith methodologyforintegratinghierarchicalvmapdatastructuresintoanontologyusingsemanticallyrepresentedanalyses