Wissensgraphen

Digitalisierung in der Werkstofftechnik

Wissensgraphen

Wissensgraphen modellieren domänenspezifisches Wissen als Netzwerk aus Entitäten (Knoten) und Relationen (Kanten). In den Materialwissenschaften verknüpfen sie Werkstoffe, Prozesse, Eigenschaften, Modelle und Experimente mit formalisierten Ontologien. Dies ermöglicht maschinenlesbare Repräsentation, Inferenz, semantische Suche und Verknüpfung heterogener Datenquellen und unterstützt so automatisierte Werkstoffentdeckung und -optimierung.

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Neue Inhalte

Utilising Large Language Models for Ontology Evaluation in the Field of Materials Science Engineering

Alam, M.M. (Speaker)¹; Fliegl, H.²; Norouzi, E.²; Sack, H.²; Waitelonis, J.²

FEMS EUROMAT 2023

MatVis: A Framework to Visually Represent Material Science Engineering Methods and RDF Knowledge Graph Creation

Valdestilhas, A. (Speaker)¹; Bayerlein, B.²; Hanke, T.³; Muth, T.²; Zia, G.²

FEMS EUROMAT 2023

The MSE Knowledge Graph: Centralizing Metadata for Enhanced Data Integration

Norouzi, E. (Speaker)¹; Azócar Guzmán, A.²; Beygi Nasrabadi, H.¹; Fathalla, S.²; Fliegl, H.¹; Gedsun, A.³; Hofmann, V.²; Sack, H.¹; Sandfeld, S.²; Waitelonis, J.¹; Zainul Ihsan, A.²

MaterialsWeek 2025

Towards Interoperable Materials Data Spaces – Linked Data Shapes to connect Applications and People

Stier, S. (Speaker)¹; Gold, L.¹; Popp, M.A.¹; Räder, A.¹

Integrating robotics into experimental mechanics to enable AI-driven knowledge discovery

Breitbarth, E. (Speaker)¹; Dietrich, E.¹; Dömling, F.¹; Melching, D.¹; Paysan, F.¹; Schöne, V.¹; Strohmann, T.¹

The MSE Knowledge Graph: A central knowledge base of a decentralized data infrastructure

Hofmann, V. (Speaker)¹; Azocar Guzman, A.²; Fathalla, S.²; Zainul Ihsan, A.²; Norouzi, E.³; Waitelonis, J.³; Gedsun, A.⁴; Fliegl, H.³; Sandfeld, S.²; Sack, H.³

Seamless Science: Navigating Daily Lab Life through Semantic Data Integration, Electronic Lab Notebooks, and Knowledge Graphs in the Era of MSE Digitalization

Schilling, M. (Speaker)¹; Bayerlein, B.¹; Bruns, S.²; von Hartrott, P.³; Waitelonis, J.⁴; Schaarschmidt, J.⁵; Kryeziu, J.⁵; Skrotzki, B.¹

Platform MaterialDigital (PMD) approach for the integration and management of FAIR low cycle fatigue (LCF) testing data

Beygi Nasrabadi, H. (Speaker)¹; Eisenbart, M.²; Hanke, T.³; Skrotzki, B.¹

Ontologies for defects in crystals: application in atomistic simulations

Azocar Guzman, A. (Speaker)¹; Menon, S.²; Hofmann, V.¹; Hickel, T.³; Sandfeld, S.¹

Semantically-Rich Thermodynamic Alloy Ontology

Hubaiev, K. (Speaker)¹; Sack, H.¹; Waltenois, J.¹

Beliebte Inhalte

Integrating robotics into experimental mechanics to enable AI-driven knowledge discovery

Breitbarth, E. (Speaker)¹; Dietrich, E.¹; Dömling, F.¹; Melching, D.¹; Paysan, F.¹; Schöne, V.¹; Strohmann, T.¹

Utilising Large Language Models for Ontology Evaluation in the Field of Materials Science Engineering

Alam, M.M. (Speaker)¹; Fliegl, H.²; Norouzi, E.²; Sack, H.²; Waitelonis, J.²

FEMS EUROMAT 2023

MaterialsMine: Curation, Ontology, and Knowledge Graph for Discovery in Polymer NanoComposites

Brinson, L.C. (Speaker)¹

FEMS EUROMAT 2023

Towards Interoperable Materials Data Spaces – Linked Data Shapes to connect Applications and People

Stier, S. (Speaker)¹; Gold, L.¹; Popp, M.A.¹; Räder, A.¹

Using knowledge graphs and machine learning to predict the fatigue behavior of high strength steels

Fliegener, S. (Speaker)¹; Dominguez, J.M.¹; Francisco Morgado, J.¹; Kobialka, H.-U.²; Rosenberger, J.¹; Tlatlik, J.¹

FEMS EUROMAT 2023

PMD Core Ontology: A Community Driven Mid-Level Ontology in the MSE Domain

Birkholz, H. (Speaker)¹; Bayerlein, B.²; Schilling, M.²; Grundmann, J.¹; Hanke, T.³; Waitelonis, J.⁴; Sack, H.⁴; Mädler, L.¹

FEMS EUROMAT 2023

Parametrierung und Automatisierung von Multiskalensimulationsketten für faserverstärkte Verbundwerkstoffe auf Grundlage strukturierter Materialcharakterisierungsdaten

Koerdel, M. (V)¹; Schneider, P.¹; Milicic Brandt, M.¹; Seidel, C.¹; Toffert, N.-A.¹; Hohe, J.²

Verbundwerkstoffe - 24. Symposium Verbundwerkstoffe und Werkstoffverbunde

MatVis: A Framework to Visually Represent Material Science Engineering Methods and RDF Knowledge Graph Creation

Valdestilhas, A. (Speaker)¹; Bayerlein, B.²; Hanke, T.³; Muth, T.²; Zia, G.²

FEMS EUROMAT 2023

Leveraging Knowledge Graphs for Extraction and Linkage of Information from Unstructured Data

Baghaee Ravari, S. (Speaker)¹; Hickle, T.²; Stricker, M.¹

Mat-O-Lab Demonstrator: a web application showing the benefits of rich semantic material science data and exemplar usage

Hanke, T. (Speaker)¹; Huschka, M.²; Klawonn, A.³; Muth, T.³; Olbricht, J.³; Schweizer, C.⁴; Skrotzki, B.³; Todor, A.-A.⁵; Unger, J.³; Valdestilhas, A.³; Völker, C.³; von Hartrott, P.⁴

MSE-KG: A knowledge graph for materials science and engineering

Azocar Guzman, A. (Speaker)¹; Ihsan, A.Z.¹; Hofmann, V.¹; Waitelonis, J.²; Laadhar, A.³; Fliegl, H.²; Fritzen, F.³; Sack, H.²; Sandfeld, S.¹; Fathalla, S.¹; Norouzi, E.²

FEMS EUROMAT 2023

Digital methods describing and predicting the fatigue behavior of high strength steels

Fliegener, S. (Speaker)¹; Domínguez, J.M.¹; Francisco Morgado, J.¹; Kobialka, H.-U.²; Rosenberger, J.¹; Tlatlik, J.¹

A Useful Reference Process for Scientific Publication: Heat Treatments, Tensile Tests, and Metallography Represented via Comprehensive Ontologies

Birkholz, H. (Speaker)¹; Jung, M.²; Gumbsch, P.²; Mädler, L.³

FEMS EUROMAT 2023

Data Federation Ontology for the Development of Biodegradable Plastics

Ishii, M. (Speaker)¹; Ichikawa, N.²; Ohtsuka, R.²; Sakamoto, K.¹; Yatsuzuka, S.²

FEMS EUROMAT 2023

Platform MaterialDigital (PMD) approach for the integration and management of FAIR low cycle fatigue (LCF) testing data

Beygi Nasrabadi, H. (Speaker)¹; Eisenbart, M.²; Hanke, T.³; Skrotzki, B.¹

The MSE Knowledge Graph: A central knowledge base of a decentralized data infrastructure

Hofmann, V. (Speaker)¹; Azocar Guzman, A.²; Fathalla, S.²; Zainul Ihsan, A.²; Norouzi, E.³; Waitelonis, J.³; Gedsun, A.⁴; Fliegl, H.³; Sandfeld, S.²; Sack, H.³

Mikrostruktur als zentrales Element und Erfolgsfaktor der Digitalen Transformation in der Materialwissenschaft und Werkstofftechnologie

Friedmann, V.¹; Durmaz, A.R.¹; Preußner, J.¹; Niebel, M.¹; Hafok, H.¹; Schweizer, C.¹; Eberl, C. (V)¹

55. Metallographie-Tagung 2021 - Materialographie

Ontologies for defects in crystals: application in atomistic simulations

Azocar Guzman, A. (Speaker)¹; Menon, S.²; Hofmann, V.¹; Hickel, T.³; Sandfeld, S.¹

The Dataspace Management System (DSMS): An end-user application for FAIR data handling and data enrichment in material science

Büschelberger, M. (Speaker)¹; Nahshon, Y.¹; Morand, L.¹; Wessel, A.¹; Helm, D.¹

Seamless Science: Navigating Daily Lab Life through Semantic Data Integration, Electronic Lab Notebooks, and Knowledge Graphs in the Era of MSE Digitalization

Schilling, M. (Speaker)¹; Bayerlein, B.¹; Bruns, S.²; von Hartrott, P.³; Waitelonis, J.⁴; Schaarschmidt, J.⁵; Kryeziu, J.⁵; Skrotzki, B.¹

Semantically-Rich Thermodynamic Alloy Ontology

Hubaiev, K. (Speaker)¹; Sack, H.¹; Waltenois, J.¹

The MSE Knowledge Graph: Centralizing Metadata for Enhanced Data Integration

Norouzi, E. (Speaker)¹; Azócar Guzmán, A.²; Beygi Nasrabadi, H.¹; Fathalla, S.²; Fliegl, H.¹; Gedsun, A.³; Hofmann, V.²; Sack, H.¹; Sandfeld, S.²; Waitelonis, J.¹; Zainul Ihsan, A.²

MaterialsWeek 2025

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