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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/263ba03ca9b432034215968b576ceb22e/diglezakis",         
         "tags" : [
            "forschungsdaten","metadata","interoperability","materialScience","ontology"
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         "intraHash" : "63ba03ca9b432034215968b576ceb22e",
         "interHash" : "3e7a11f94577798c8cc3d462f8eb794d",
         "label" : "PMD Core Ontology: Achieving semantic interoperability in materials science",
         "user" : "diglezakis",
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         "date" : "2024-06-17 11:53:44",
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         "pub-type": "article",
         "journal": "Materials & Design",
         "year": "2024", 
         "url": "https://www.sciencedirect.com/science/article/pii/S0264127523010195", 
         
         "author": [ 
            "Bernd Bayerlein","Markus Schilling","Henk Birkholz","Matthias Jung","Jörg Waitelonis","Lutz Mädler","Harald Sack"
         ],
         "authors": [
         	
            	{"first" : "Bernd",	"last" : "Bayerlein"},
            	{"first" : "Markus",	"last" : "Schilling"},
            	{"first" : "Henk",	"last" : "Birkholz"},
            	{"first" : "Matthias",	"last" : "Jung"},
            	{"first" : "Jörg",	"last" : "Waitelonis"},
            	{"first" : "Lutz",	"last" : "Mädler"},
            	{"first" : "Harald",	"last" : "Sack"}
         ],
         "volume": "237","pages": "112603","abstract": "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\u2013the Platform MaterialDigital Core Ontology (PMDco)\u2013via 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.",
         "issn" : "0264-1275",
         
         "doi" : "https://doi.org/10.1016/j.matdes.2023.112603",
         
         "bibtexKey": "BAYERLEIN2024112603"

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