Papers by Lydia Pintscher

2 papers
Schema Generation for Large Knowledge Graphs Using Large Language Models (2025.findings-emnlp)

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Challenge: Schemas are a vital part of ontology engineering and require substantial knowledge engineers and domain experts to create them.
Approach: They propose to use large language models to generate schemas in Shape Expressions (ShEx) to bridge the resource gap between knowledge engineers and domain experts.
Outcome: The proposed pipelines use local and global information from knowledge graphs (KGs) to generate high-quality schemas in Shape Expressions (ShEx).
Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection (2025.acl-industry)

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Challenge: Wikidata is a large open-source structured knowledge base that is used by search engines, robots, and scripts.
Approach: They propose a vandalism detection system for Wikidata that converts edits into a single space using a method called Graph2Text.
Outcome: The proposed system outperforms the current production system and is released under an open license.

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