🚨HiWi position @ Data and Web Science Group, University of Mannheim!

Join the SpatialBenchRAG project to work with #LLMs, #RAG & multimodal data + contribute to open science & publications 🚀

⏰Starts: Nov 2025

🔗 Details: www.uni-mannheim.de/dws/career/h...

Team #cthulhu being seriously on fire at #isws2025

Bright ideas growing in the dark at #isws2025 #cthulhu

Serious research in the house of #cthulhu #isws2025

Natasha Noy on the history of #opendata #isws2025

#isws2025 tutors preparing for the surprise event

House of #cthulu on fire at #isws2025

📢 Introducing Walk&Retrieve, a simple yet effective zero-shot #RAG framework based on #knowledgegraph walks!

Arxiv : arxiv.org/abs/2505.16849
GitHub: github.com/MartinBoeckl...

Joint work w/ @martinboeckling.bsky.social @heikopaulheim.bsky.social

Details 👇

📣 Call for Papers is out! 📣

Working on #news #recsys & their societal, legal, and ethical dimensions?

👉 Submit to the 13th INRA workshop, co-located w/ @recsys.bsky.social in Prague!

📅 Paper deadline: ** July 17th, 2025 **

More info: research.idi.ntnu.no/NewsTech/INR...

#INRA2025 #RecSys2025

Hello! INRA is a forum for researchers and practitioners to discuss technical innovations, societal, ethical, and legal aspects of news recommendation and analytics.

The upcoming 13th edition of our workshop will be co-located w/ @recsys.bsky.social in Prague.

Stay tuned to this channel!

GeoRDF2Vec Learning Location-Aware Entity Representations in Knowledge Graphs Many knowledge graphs contain a substantial number of spatial entities, such as cities, buildings, and natural landmarks. For many of these entities, exact geometries are stored within the knowledge g...

Quite a few #KnowledgeGraphs contain geospatial entities🌍GeoRDF2vec is an extension of the #RDF2vec #embedding method that exploits geospatial information for learning better entity representations. Check it out here: arxiv.org/abs/2504.17099 #eswc2025