Summary of Enriching Ontologies with Disjointness Axioms Using Large Language Models, by Elias Crum et al.
Enriching Ontologies with Disjointness Axioms using Large Language Models
by Elias Crum, Antonio De Santis, Manon Ovide, Jiaxin Pan, Alessia Pisu, Nicolas Lazzari, Sebastian Rudolph
First submitted to arxiv on: 4 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the potential of Large Language Models (LLMs) to enrich ontologies by identifying and asserting class disjointness axioms. The authors leverage LLMs’ implicit knowledge using prompt engineering, which elicits this knowledge for classifying ontological disjointness. They validate their methodology on the DBpedia ontology, focusing on open-source LLMs. The findings suggest that LLMs can reliably identify disjoint class relationships when guided by effective prompts, streamlining the process of ontology completion without extensive manual input. The authors propose a process to maintain satisfiability and reduce the number of calls to the LLM for comprehensive disjointness enrichment. This work provides a foundation for future applications of LLMs in automated ontology enhancement and offers insights into optimizing LLM performance through strategic prompt design. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study uses super smart computers called Large Language Models (LLMs) to help make big collections of information more organized and easier to use. These LLMs can figure out when certain groups of things aren’t related, which is helpful for making sure the information stays accurate and makes sense. The researchers tested this method on a big collection of information called DBpedia and found that it worked really well. They also came up with a plan for how to use these LLMs to make even more improvements to the organization of the information. This could be useful for people who work with big collections of data or want to make sure their own information is organized in a way that makes sense. |
Keywords
» Artificial intelligence » Prompt
