Publikation
Semantic Support Points for on the Fly Knowledge Encoding in Heterogenous Systems
Daniel Spieldenner; André Antakli; Torsten Spieldenner; Harkiran Sahota
In: Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - (Volume 3). International Conference on Knowledge Management and Information Sharing (KMIS-2024), ISBN 978-989-758-716-0, Scitepress, 2024.
Zusammenfassung
Connecting participants in heterogenous environments and allowing for seamless interaction is a challenging task that requires profound knowledge of the system envolved and data exchanged. The knowledge on how to integrate and use certain systems is usually given in the form of manuals, code documentation or needs to be derived by the developer by understanding and interpreting source code or data sets. With this work, we propose an approach to provide this knowledge about data via so called semantic support points, making use
of Semantic Web technologies and appropriate ontologies, in a resource efficient fashion by creating semantic representations only when and where needed. Instead of just providing semantic meta data to describe actors in the environment, we make it possible to embed actual data values from data sources like databases and payloads exchanged between systems into a virtual semantic cloud, allowing for interactions purely on the semantic data representations and propagating computation results back to the system layer automatically.
Projekte
- ForeSightNEXT - Plattform für Daten, künstliche Intelligenz und Services im Smart Living-Ökosystem
- TwinMaP - Digitaler Zwilling eines heterogenen Maschinenparks zur Komplettbearbeitung von Bauteilen