LLMs4OL: Large Language Models for Ontology Learning
A Large Semantic Knowledge Graph from Wikipedia Categories and Listings
OntoLearner: A Modular Python Library for Ontology Learning with LLMs https://pypi.org/project/OntoLearner/
A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
a Domain Ontology rapiD DeveLopment Environment - OWL extension
Exploration of NLP tasks including similarity measures, onomasiological research, valence theory, segmentation, topic modeling, and concept analysis.
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
LLMs4OL Challenge @ ISWC
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.
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.
A benchmark for ontology learning and enrichment
Ontology Extracttion and Schema Alignment of Electronic Datasheets
My Bachelor Thesis in Computer Science at the University of Havana, Cuba.
Presentation of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
The operational layer of your AI Operating System [WIP]
Data and implementations of the paper "SKH-NLP at LLMs4OL 2024 Task B: Taxonomy Discovery in Ontologies Using BERT and LLaMA 3"
Paper of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
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