Automatic Term Extraction and Ontology Learning from Texts for Time Research Papers
-
Updated
Jul 9, 2018 - HTML
Automatic Term Extraction and Ontology Learning from Texts for Time Research Papers
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 benchmark for ontology learning and enrichment
My Bachelor Thesis in Computer Science at the University of Havana, Cuba.
Code of my Bachelor Thesis in Computer Science at the University of Havana, Cuba.
Paper of 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.
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.
A Large Semantic Knowledge Graph from Wikipedia Categories and Listings
a Domain Ontology rapiD DeveLopment Environment - OWL extension
OWL Ontology Verbalizer - Enables the conversion of OWL ontologies and RDF graphs into human-readable text
A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
LLMs4OL: Large Language Models for Ontology Learning
Add a description, image, and links to the ontology-learning topic page so that developers can more easily learn about it.
To associate your repository with the ontology-learning topic, visit your repo's landing page and select "manage topics."