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#mse

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FIZ Karlsruhe

🗓️Meanwhile in Bonn...

Yesterday was a busy day for our colleagues in NFDI4DS and NFDI-MatWerk! Both consortia presented their achievements of the last years at the Zwischenberichtssymposium (mid term symposium) at Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation in Bonn.

👏As you can see a lot of happy and inspired-looking faces on our two pictures, we can assume the day was successful and productive for everyone🎉

#NFDIMatWerk #NFDI #mse

@daphne @lysander07 @FAIRmat

A group picture of some members and presenters of the NFDI-MatWerk conortium.
A group picture of some members and presenters of the NFDI4 Data Science consortium.
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FIZ ISE Research Group

We are very happy to tell you that our article Markus Schilling, Bernd Bayerlein, Philipp von Hartrott, Jörg Waitelonis, Henk Birkholz, Pedro Dolabella Portella, Birgit Skrotzki: FAIR and Structured Data: "A Domain Ontology Aligned with Standard-compliant Tensile Testing" has been selected for the Best of Advanced Engineering Materials Virtual Issue 2024.

Best of AEM 2024: onlinelibrary.wiley.com/page/j

#mse #materialsscience #ontologies #AI #semanticweb @fiz_karlsruhe @joerg @BAMResearch

This image displays a semantic representation of the characteristic value of tensile strength (Rm) determined in a tensile test, using the TTO (Tensile Testing Ontology). The diagram is a directed graph, showing relationships between different elements. The core of the diagram focuses on the process of determining tensile strength. It shows: The test: tto:TensileTest is the central TTO class representing the tensile test, linked to the test piece (pmd:TestPiece) and the process (pmd:MechanicalTestingProcess). Data flow: The process generates raw data (tte:rawData_1), which is then processed and transformed into the final result (tte:Rm_1, representing the tensile strength value). Data representation: The raw data is stored in a CSV file (csvw:Table), the strength is a pmd:ValueObject with a unit (qudt:Unit) of MegaPascals (qudt:MegaPa). Ontology organization: The ontology classes are arranged hierarchically, illustrating the relationships between them and showing how data is classified and connected within the knowledge representation. In essence, the figure visualizes how the tensile strength is derived from a test, how data is structured, and how ontologies are used to organize and represent the knowledge of the process. The A-Box level (light gray) shows instances of concepts – real test data and results. The T-Box level shows the classes and concepts used to describe them.
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FIZ ISE Research Group

This week, our colleagues @joerg @enorouzi Hossein Beygi Nasrabadi and Kostya Hubaev have co-organised and attended the PMDcore Hackathon event at @BAMResearch in Berlin as part of the #PMD Platform MaterialDigital project

PMD website: material-digital.de/
PMDcore ontology at GitHub: github.com/materialdigital/cor
paper: sciencedirect.com/science/arti

#NFDIMatWerk #NFDIrocks #MSE #MaterialsScience #ontologies #BFO #emmo #semanticweb #knowledgegraphs #symbolicAI #AI
@fiz_karlsruhe

FIZ ISE team at PMDcore Hackathon II in BErlin. 5 participants in front of a huge screen with library shelfs around. Among the 5 persons, there is Dr. Joerg Waitelonis, Ebrahim Norouzi, Dr. Hossein Beygi, and Dr. Kostya Hubaev from FIZ Information Service engineering research group.
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FIZ ISE Research Group

This week, our colleagues @enorouzi @GenAsefa and @heikef from @fizise participated in the #FAIR-DI European Conference on Data Intelligence 2024 in Karlsruhe.

The event brought together theoretical and experimental researchers to explore research data management, related services and tools, databases, and the impact of large language models and AI in materials science.

#AI #LLMs #generativeAI #MSE #materialsscience #rdm #NFDI #NFDIMatWerk #NFDIrocks #PMD @fiz_karlsruhe

Participants of the FAIR-DI Conference in Karlsruhe. There are roughly 80 Participants standing on the steps of a wide stair next to a huge building. Above, blue skies and nice weather.
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FIZ ISE Research Group

Our colleague Kostya Hubaiev is presenting his work "Semantically-Rich Thermodynamic Alloy Ontology" within the Platform MaterialDigital project at #MSE2024 congress on Materials Science and Engineering in Darmstadt today.

presentation abstract: drive.google.com/file/d/10RyuX
MSE 2024 congress: mse-congress.de/
PMD website: materialdigital.de/

@fiz_karlsruhe @fizise @enorouzi #MSE #ontologies #semanticweb #bfo #pmd #pmdcore

Kostya Hubaiev from FIZ Karlsruhe presenting at MSE 2024. He is pointing to the slide projected on the wall. THe slide reads: Bulk modulus of Nb: B=B(T,P) - experiment and is depicting a graph representation of an ontology.
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FIZ ISE Research Group

Our colleague @enorouzi presenting "The Landscape of Ontologies in Materials Science and Engineering: A Survey and Evaluation" at the #SeMatS2024 workshop at #Semantics2024 in Amsterdam, analyzing and evaluation 70+ #ontologies from Materials Science and Engineering, and providing guidelines for their use.

paper: arxiv.org/abs/2408.06034
GitHub: ise-fizkarlsruhe.github.io/mse

#materialsscience #mse #semanticweb #knowledgegraphs @joerg @lysander07 @fiz_karlsruhe #nfdimatwerk #NFDIrocks #nfdi #pmd #ai

Ebrahim Norouzi from the Information Service Engineering research group at FIZ Karlsruhe, presenting his talk "The Landscape of Ontologies in Materials Science and Engineering: A survey and evaluation" at the SeMatS2024 workshop. He is standing next to a presentation creen displaying the cover page of his presentation with title, authors and affiliations. He is wearing a light colored shirt and jeans with a name tag connected via a orange colored strip around his neck. He is holding a microphone in his right hand and smiling into the camera ;-)
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FIZ ISE Research Group

Today, the International Workshop on Semantic Materials Science #SeMatS2024 is taking place co-located with #Semantics2024 in Amsterdam. Our colleague @enorouzi will present his talk "The Landscape of Ontologies in Materials Science and Engineering: A Survey and Evaluation" this afternoon at4:30pm.

SeMatS workshop: sites.google.com/view/semantic
paper: arxiv.org/abs/2408.06034

#ontologies #semanticweb #materialsscience #mse #nfdimatwerk #nfdirocks #PMD2 @fiz_karlsruhe @fizise

List of Domain level ontologies in Materials Science and Engineering. The columns are defined as follows: Type (ontology level), Ontology Name, Domain, Used in Project(s), Competency Questions (CQs), Licensing (Lic.), Top-Level Ontology Alignment (TLO), Reused Ontologies (Reused Ont.), Modularity (Mod.), and Ontology Design Patterns (ODPs). The list was updated in June, and all the ontologies were found to the best of our knowledge. ✗means that the information could not be found either from the ontology repository or from the publication reference of the ontology.
Public
Harald Sack

We are glad to be part of the Innovation Platform MaterialDigital project, combining 24 consortia in their effort to digitalize #materialsscience engineering. Our task is to facilitate #ontology design for #mse experts who are not familiar with knowledge engineering.

video: youtube.com/watch?v=ilxazOFDHS
MaterialDigital website: materialdigital.de/projects/

@fiz_karlsruhe @KIT_Karlsruhe @BAMResearch #materialdigital @joerg @heikef @enorouzi @fizise

video screenshot showing Prof. Dr. Peter Gumbsch from KIT, speaker of the Platform MaterialDigital project.
#ontologies#ontologicalengineering#KnowledgeGraphs
Public
Harald Sack

Our new paper on the PMDcore ontology bridging semantic gaps in Materials Science and Engineering to enable data interoperability has been published in Materials&Design:
Bernd Bayerlein, Markus Schilling, Henk Birkholz, Matthias Jung, @joerg, Lutz Mädler, @lysander07 Core Ontology: Achieving semantic interoperability in materials science
paper link: sciencedirect.com/science/arti

@fiz_karlsruhe @fizise #ontologies @enorouzi #mse #knowledgegraphs #semanticweb #ontologicalengineering

A schematic graphics to visualize the contributions of the paper as highlighted in the 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–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.
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