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Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes. [PDF]
Wu G +6 more
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Scientific knowledge graph and ontology generation using open large language models.
Oarga A +4 more
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Ontology engineering with Large Language Models
Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2023We tackle the task of enriching ontologies by automatically translating natural language (NL) into Description Logic (DL). Since Large Language Models (LLMs) are the best tools for translations, we fine-tuned a GPT-3 model to convert NL into OWL ...
Patricia Mateiu, Adrian Groza
semanticscholar +1 more source
Ontology engineering: Current state, challenges, and future directions
Semantic Web, 2020In the past decade, we have witnessed a significant adoption of ontologies in a variety of fields including biomedicine, finance, engineering, law, and cultural heritage.
Tania Tudorache
semanticscholar +1 more source
Ontology Engineering by Combining Ontology Patterns
International Conference on Conceptual Modeling, 2015Building proper reference ontologies is a hard task. There are a number of methods and tools that traditionally have been used to support this task. These include foundational theories, reuse of domain and core ontologies, development methods, and software tool support. In this context, an approach that has gained increased attention in recent years is
F. B. Ruy +4 more
semanticscholar +2 more sources
OntoChat: a Framework for Conversational Ontology Engineering using Language Models
ESWC Satellite EventsOntology engineering (OE) in large projects poses a number of challenges arising from the heterogeneous backgrounds of the various stakeholders, domain experts, and their complex interactions with ontology designers.
Bohui Zhang +6 more
semanticscholar +1 more source

