Zugehörige Institution(en) am KIT | Institut für Informationssicherheit und Verlässlichkeit (KASTEL) |
Publikationstyp | Proceedingsbeitrag |
Publikationsjahr | 2024 |
Sprache | Englisch |
Identifikator | ISSN: 1613-0073 KITopen-ID: 1000171637 |
Erschienen in | SemTech4STLD 2024 : Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data 2024 : Second International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data (SemTech4STLD) co-located with the Extended Semantic Web Conference 2024 (ESWC 2024). Ed.: R. Dessi |
Veranstaltung | 21st Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data : Second International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data co-located with the Extended Semantic Web Conference (SemTech4STLD/ESWC/ESWC 2024), Hersonissos, Griechenland, 26.05.2024 |
Verlag | CEUR-WS |
Seiten | 76-82 |
Serie | CEUR Workshop Proceedings ; 3697 |
Projektinformation | NFDIxCS (DFG, NFDI 52/1) |
Bemerkung zur Veröffentlichung | Second International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data (SemTech4STLD) |
Schlagwörter | Knowledge Graphs, Large Language Models, Scientific Knowledge Access, Software Architecture Research |