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Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models

A paper proposing a framework for automating cause-and-effect logic generation using knowledge graphs and large language models.

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Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models

By Javal Vyas, Milapji Singh Gill, Mehmet MercangözarXiv
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The authors present a semantic-AI framework that combines a knowledge graph with a constrained large language model to automate the generation of cause-and-effect logic. The framework builds on an established modular alignment ontology and demonstrates its application on a modular process plant.

This approach aims to reduce manual effort in creating engineering specifications.

Abstract

The authors present a semantic-AI framework that combines a knowledge graph with a constrained large language model to automate the generation of cause-and-effect logic. The framework builds on an established modular alignment ontology and demonstrates its application on a modular process plant. This approach aims to reduce manual effort in creating engineering specifications.

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cause-effect logicknowledge graphlarge language modelsemantic ai frameworkmodular alignment ontologyKnowledge GraphsOntology & TaxonomySemantic InteroperabilityLarge Language Models
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