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SeMatS 2024 - Proceedings of the first international workshop on semantic materials science: Harnessing the power of semantic web technologies in materials science

  • Advanced technological solutions play a vital role in leveraging the potential of data and driving innovative research. However, the compatibility issues arising from different formats and structures of scientific data hinder progress in data generation, organization, storage, and sharing. To address these challenges, interoperability and efficient data access and analysis automation are crucial. The Semantic Web emerges as a powerful solution to overcome these obstacles. Expanding and adapting Semantic Web technologies to the Materials Science domain can significantly enhance research outcomes by enabling the uniform consideration, integration, and analysis of heterogeneous data from diverse sources and formats. Implementing these technologies can improve the traceability and reproducibility of scientific procedures, experiments, and simulations. It also facilitates automatable data management solutions and empowers researchers to answer scientific inquiries using semantic queries.Advanced technological solutions play a vital role in leveraging the potential of data and driving innovative research. However, the compatibility issues arising from different formats and structures of scientific data hinder progress in data generation, organization, storage, and sharing. To address these challenges, interoperability and efficient data access and analysis automation are crucial. The Semantic Web emerges as a powerful solution to overcome these obstacles. Expanding and adapting Semantic Web technologies to the Materials Science domain can significantly enhance research outcomes by enabling the uniform consideration, integration, and analysis of heterogeneous data from diverse sources and formats. Implementing these technologies can improve the traceability and reproducibility of scientific procedures, experiments, and simulations. It also facilitates automatable data management solutions and empowers researchers to answer scientific inquiries using semantic queries. Moreover, machine learning methods can benefit from enhanced data completeness and coherence. The primary objective of this workshop was to gather professionals in Semantic Web and in Materials Science and Engineering to show the recent advances in the use of Semantic Web technologies for Materials Science and Engineering, as well as provide a platform for discussing issues, finding collaboration opportunities and developing a community for this interdisciplinary field. We thank all authors for their submissions and all members of the SeMatS program committee for their useful reviews and comments. We are also grateful to Daniel Garijo and Andrea Mannocci, the workshop chairs of SEMANTICS 2024, for their continuous support during the workshop organization.zeige mehrzeige weniger

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Metadaten
Persönliche Herausgeber*innen:Andre ValdestilhasORCiD, H. Li, P. Lambrix, H. Sack
Dokumenttyp:Tagungsband (Herausgeberschaft für den kompletten Band)
Veröffentlichungsform:Graue Literatur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):CEUR workshop proceedings
Jahr der Erstveröffentlichung:2024
Organisationseinheit der BAM:8 Zerstörungsfreie Prüfung
8 Zerstörungsfreie Prüfung / 8.0 Abteilungsleitung und andere
Verlag:RWTH Aachen
Verlagsort:Aachen
Jahrgang/Band:3760
Erste Seite:1
Letzte Seite:127
Freie Schlagwörter:Materials science and engineering; Semantic web
Themenfelder/Aktivitätsfelder der BAM:Material
Material / Materialdesign
Veranstaltung:SeMatS 2024 - The 1st International Workshop on Semantic Materials Science
Veranstaltungsort:Amsterdam, The Netherlands
Beginndatum der Veranstaltung:17.09.2024
URN:urn:nbn:de:0074-3760-0
ISSN:1613-0073
Zugehöriger Identifikator:https://nbn-resolving.org/urn:nbn:de:kobv:b43-624597
Verfügbarkeit des Dokuments:Weder Datei noch physisches Exemplar vorhanden ("No Access")
Datum der Freischaltung:04.02.2025
Referierte Publikation:Nein
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