LLMs4OL: Large Language Models for Ontology Learning
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Updated
Jul 8, 2024 - Python
LLMs4OL: Large Language Models for Ontology Learning
a Domain Ontology rapiD DeveLopment Environment - OWL extension
A benchmark for ontology learning and enrichment
Paper of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
OWL Ontology Verbalizer - Enables the conversion of OWL ontologies and RDF graphs into human-readable text
A tool to uncover the semantics of Wikipedia categories by learning relation and type axioms to enrich the ontology of a Wikipedia-based knowledge graph
Automatic Term Extraction and Ontology Learning from Texts for Time Research Papers
Code of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
My Bachelor Thesis in Computer Science at the University of Havana, Cuba.
A Large Semantic Knowledge Graph from Wikipedia Categories and Listings
This is a semi-automatic semantic consistency-checking method for learning ontology from RDB, in which the graph-based intermediate model is leveraged to represent the semantics of RDB and the specifications of learned ontologies.
Exploration of NLP tasks such as cosine similarity between term definitions, onomasiological research, valence theory, text segmentation, topic modeling and formal concept analysis.
Presentation of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
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