activity
20182025
most citedOLaLa: Ontology Matching with Large Language Models

66 citations · 133 across the 14 of their papers we have counts for

collaborators

15 papers

cs.DC2025

Analysing semantic data storage in Distributed Ledger Technologies for Data Spaces

Juan Cano-Benito, Andrea Cimmino, Sven Hertling +2

Data spaces are emerging as decentralised infrastructures that enable sovereign, secure, and trustworthy data exchange among multiple participants. To achieve semantic interoperabi…

cs.IR2023★ 66 cited

OLaLa: Ontology Matching with Large Language Models

Sven Hertling, Heiko Paulheim

Ontology (and more generally: Knowledge Graph) Matching is a challenging task where information in natural language is one of the most important signals to process. With the rise o…

cs.AI2023

KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks

Nicolas Heist, Sven Hertling, Heiko Paulheim

In recent years, countless research papers have addressed the topics of knowledge graph creation, extension, or completion in order to create knowledge graphs that are larger, more…

cs.AI2022

Causal Inference for Chatting Handoff

Shanshan Zhong, Jinghui Qin, Zhongzhan Huang +1

Aiming to ensure chatbot quality by predicting chatbot failure and enabling human-agent collaboration, Machine-Human Chatting Handoff (MHCH) has attracted lots of attention from bo…

cs.AI2022★ 4 cited

Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching

Sven Hertling, Heiko Paulheim

The number of Knowledge Graphs (KGs) generated with automatic and manual approaches is constantly growing. For an integrated view and usage, an alignment between these KGs is neces…

cs.CL2022★ 5 cited

KERMIT -- A Transformer-Based Approach for Knowledge Graph Matching

Sven Hertling, Jan Portisch, Heiko Paulheim

One of the strongest signals for automated matching of knowledge graphs and ontologies are textual concept descriptions. With the rise of transformer-based language models, text co…