Search Results for author: Sven Hertling

Found 15 papers, 3 papers with code

On Aligning OpenIE Extractions with Knowledge Bases: A Case Study

no code implementations EMNLP (Eval4NLP) 2020 Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, Christian Meilicke

First, we investigate OPIEC triples and DBpedia facts having the same arguments by comparing the information on the OIE surface relation with the KB rela- tion.

Open Information Extraction

OAEI Machine Learning Dataset for Online Model Generation

1 code implementation29 Apr 2024 Sven Hertling, Ebrahim Norouzi, Harald Sack

In this paper, we introduce a dataset that contains training, validation, and test sets for most of the OAEI tracks.

Graph Matching

OLaLa: Ontology Matching with Large Language Models

no code implementations7 Nov 2023 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.

Graph Matching Language Modelling +2

KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks

no code implementations21 Aug 2023 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 correct, or more diverse.

Knowledge Graphs

DBkWik++ -- Multi Source Matching of Knowledge Graphs

no code implementations6 Oct 2022 Sven Hertling, Heiko Paulheim

In this paper, we present the approach and analysis of DBkWik++, a fused Knowledge Graph from thousands of wikis.

Knowledge Graphs

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

no code implementations15 Sep 2022 Sven Hertling, Heiko Paulheim

The number of Knowledge Graphs (KGs) generated with automatic and manual approaches is constantly growing.

Graph Matching Knowledge Graphs

KERMIT - A Transformer-Based Approach for Knowledge Graph Matching

no code implementations29 Apr 2022 Sven Hertling, Jan Portisch, Heiko Paulheim

One of the strongest signals for automated matching of knowledge graphs and ontologies are textual concept descriptions.

Graph Matching Knowledge Graphs +1

Order Matters: Matching Multiple Knowledge Graphs

no code implementations3 Nov 2021 Sven Hertling, Heiko Paulheim

Knowledge graphs (KGs) provide information in machine interpretable form.

Knowledge Graphs

Matching with Transformers in MELT

no code implementations15 Sep 2021 Sven Hertling, Jan Portisch, Heiko Paulheim

One of the strongest signals for automated matching of ontologies and knowledge graphs are the textual descriptions of the concepts.

Graph Matching Knowledge Graphs +1

On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia

1 code implementation2 Jul 2021 Malte Brockmeier, Yawen Liu, Sunita Pateer, Sven Hertling, Heiko Paulheim

Modern large-scale knowledge graphs, such as DBpedia, are datasets which require large computational resources to serve and process.

Graph Generation Knowledge Graphs

Supervised Ontology and Instance Matching with MELT

no code implementations20 Sep 2020 Sven Hertling, Jan Portisch, Heiko Paulheim

In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology and instance matching.

BIG-bench Machine Learning

Visual Analysis of Ontology Matching Results with the MELT Dashboard

no code implementations27 Apr 2020 Jan Portisch, Sven Hertling, Heiko Paulheim

In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT).

Ontology Matching

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