LLMs4OL: Large Language Models for Ontology Learning
A Large Semantic Knowledge Graph from Wikipedia Categories and Listings
A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
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
a Domain Ontology rapiD DeveLopment Environment - OWL extension
Exploration of NLP tasks such as cosine similarity between term definitions, onomasiological research, valence theory, text segmentation, topic modeling and formal concept analysis.
Automatic Term Extraction and Ontology Learning from Texts for Time Research Papers
OWL Ontology Verbalizer - Enables the conversion of OWL ontologies and RDF graphs into human-readable text
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.
Code of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
A benchmark for ontology learning and enrichment
Paper 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.
Data and implementations of the paper "SKH-NLP at LLMs4OL 2024 Task B: Taxonomy Discovery in Ontologies Using BERT and LLaMA 3"
Presentation of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
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