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...
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Language: | English |
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MDPI AG
2023-12-01
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Online Access: | https://www.mdpi.com/2078-2489/15/1/21 |
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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 |
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