The HMC FAIR Friday seminar series brings inspiring presentations on topics related to FAIR data.
Date
Location
Online
Cost
Free

FAIR enough: Semantic Web 101

The winter edition of the FAIR Friday seminar series kicks off with an exciting presentation by Robert Ulrich from KIT on the topic of the Semantic Web & FAIR data:

14.11.2025 (10-11 am CET):
"FAIR enough: Semantic Web 101", Robert Ulrich (KIT)
Registration: https://events.hifis.net/event/2862/

Abstract: 
"The Semantic Web provides a foundation for transforming the web from a collection of documents into a web of linked data, enabling machines to understand, integrate, and reason over information.
 This talk briefly introduces the core concepts of the Semantic Web, including RDF, RDFS, OWL, and SPARQL, and illustrates how these standards constitute a complete stack. 
Building on these fundamentals, we explore how Semantic Web technologies support the FAIR Data Principles, making data Findable, Accessible, Interoperable, and Reusable.
 Practical examples such as linked open data, vocabularies, and metadata standards (e.g. DCAT) demonstrate how semantic technologies enhance data quality, integration, and discoverability across platforms. 

The first part of the talk will give a basic overview about how those technologies allow knowledge to be modeled as interoperable, machine-readable graphs, breaking up information silos
 and constituting a web of data. The second part will showcase the practical application of the Semantic Web in creating a FAIR research data ecosystem. It will give insights into the pilot built
 and tested with the community within the EOSC FAIR-IMPACT project. 
Participants new to semantic technologies will gain an initial understanding of both the conceptual design and technical implementation of a web of data."

 

And coming soon:

05.12.2025 (10-11 am CET): 
"HMC Project HARMONise – Toward FAIR biomolecular (meta)data", Christina Bienhold (AWI)
Register here: https://events.hifis.net/event/2865/

February 2026 
"ELN-driven interoperability for metadata", Nicole Jung (KIT)