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Knowledge Graph Builder - Constructing a Graph from Arbitrary Text Using an LLM (Software Abstract)

Authors Andreas Benno Kollegger , Alexander Erdl, Michael Hunger

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Subject Classification

ACM Subject Classification
  • Information systems → Network data models
Keywords
  • Knowledge Graph
  • Lexical Graph

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Abstract

Knowledge graphs improve many information retrieval tasks over structured and unstructured data. However, knowledge graph construction can be challenging even for domain experts. The Knowledge Graph Builder is an application incorporating advanced techniques for deriving a knowledge graph from unstructured data using an LLM.

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Andreas Benno Kollegger, Alexander Erdl, and Michael Hunger. Knowledge Graph Builder - Constructing a Graph from Arbitrary Text Using an LLM (Software Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 61:1-61:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.GD.2024.61

Author Details

Andreas Benno Kollegger
  • Neo4j Inc, Cambridge, UK
Alexander Erdl
  • Neo4j Inc, Munich, DE
Michael Hunger
  • Neo4j Inc, Dresden, DE

Acknowledgements

We want to thank the engineering team at Neo4j for their pioneering work on knowledge graph construction using an LLM.

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