PMD Core Ontology: Achieving semantic interoperability in materials science
Knowledge representation in the Materials Science and Engineering (MSE) domain is a vast and multi-faceted challenge: Overlap, ambiguity, and inconsistency in terminology are common. Invariant (consistent) and variant (context-specific) knowledge are difficult to align cross-domain. Generic top-leve...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127523010195 |
| _version_ | 1827375580756049920 |
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| author | Bernd Bayerlein Markus Schilling Henk Birkholz Matthias Jung Jörg Waitelonis Lutz Mädler Harald Sack |
| author_facet | Bernd Bayerlein Markus Schilling Henk Birkholz Matthias Jung Jörg Waitelonis Lutz Mädler Harald Sack |
| author_sort | Bernd Bayerlein |
| collection | DOAJ |
| description | Knowledge representation in the Materials Science and Engineering (MSE) domain is a vast and multi-faceted challenge: Overlap, ambiguity, and inconsistency in terminology are common. Invariant (consistent) and variant (context-specific) knowledge are difficult to align cross-domain. Generic top-level semantic terminology often is too abstract, while MSE domain terminology often is too specific. In this paper, an approach how to maintain a comprehensive MSE-centric terminology composing a mid-level ontology–the Platform MaterialDigital Core Ontology (PMDco)–via MSE community-based curation procedures is presented. The illustrated findings show how the PMDco bridges semantic gaps between high-level, MSE-specific, and other science domain semantics. Additionally, it demonstrates how the PMDco lowers development and integration thresholds. Moreover, the research highlights how to fuel it with real-world data sources ranging from manually conducted experiments and simulations with continuously automated industrial applications. |
| first_indexed | 2024-03-08T11:54:01Z |
| format | Article |
| id | doaj.art-0996934a9ff040c69b75e43cc12b6778 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-03-08T11:54:01Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-0996934a9ff040c69b75e43cc12b67782024-01-24T05:16:41ZengElsevierMaterials & Design0264-12752024-01-01237112603PMD Core Ontology: Achieving semantic interoperability in materials scienceBernd Bayerlein0Markus Schilling1Henk Birkholz2Matthias Jung3Jörg Waitelonis4Lutz Mädler5Harald Sack6Bundesanstalt für Materialforschung und -prüfung (BAM), Unter den Eichen 87, Berlin, 12205, Germany; Corresponding author.Bundesanstalt für Materialforschung und -prüfung (BAM), Unter den Eichen 87, Berlin, 12205, GermanyLeibniz-Institute for Materials Engineering (IWT), Badgasteiner Str. 3, Bremen, 28359, GermanyFraunhofer Institute for Mechanics of Materials (IWM), Wöhlerstr. 11, Freiburg im Breisgau, 79108, GermanyFIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344, GermanyLeibniz-Institute for Materials Engineering (IWT), Badgasteiner Str. 3, Bremen, 28359, Germany; University of Bremen, Badgasteiner Straße 3, Bremen, 28359, GermanyFIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344, GermanyKnowledge representation in the Materials Science and Engineering (MSE) domain is a vast and multi-faceted challenge: Overlap, ambiguity, and inconsistency in terminology are common. Invariant (consistent) and variant (context-specific) knowledge are difficult to align cross-domain. Generic top-level semantic terminology often is too abstract, while MSE domain terminology often is too specific. In this paper, an approach how to maintain a comprehensive MSE-centric terminology composing a mid-level ontology–the Platform MaterialDigital Core Ontology (PMDco)–via MSE community-based curation procedures is presented. The illustrated findings show how the PMDco bridges semantic gaps between high-level, MSE-specific, and other science domain semantics. Additionally, it demonstrates how the PMDco lowers development and integration thresholds. Moreover, the research highlights how to fuel it with real-world data sources ranging from manually conducted experiments and simulations with continuously automated industrial applications.http://www.sciencedirect.com/science/article/pii/S0264127523010195OntologyMaterials science and engineeringKnowledge representationReproducibilitySemantic interoperabilitySemantic data integration |
| spellingShingle | Bernd Bayerlein Markus Schilling Henk Birkholz Matthias Jung Jörg Waitelonis Lutz Mädler Harald Sack PMD Core Ontology: Achieving semantic interoperability in materials science Materials & Design Ontology Materials science and engineering Knowledge representation Reproducibility Semantic interoperability Semantic data integration |
| title | PMD Core Ontology: Achieving semantic interoperability in materials science |
| title_full | PMD Core Ontology: Achieving semantic interoperability in materials science |
| title_fullStr | PMD Core Ontology: Achieving semantic interoperability in materials science |
| title_full_unstemmed | PMD Core Ontology: Achieving semantic interoperability in materials science |
| title_short | PMD Core Ontology: Achieving semantic interoperability in materials science |
| title_sort | pmd core ontology achieving semantic interoperability in materials science |
| topic | Ontology Materials science and engineering Knowledge representation Reproducibility Semantic interoperability Semantic data integration |
| url | http://www.sciencedirect.com/science/article/pii/S0264127523010195 |
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