Search Results for author:
Found 3 papers, 1 papers with code
A Short Review for Ontology Learning from Text: Stride from Shallow Learning, Deep Learning to Large Language Models Trend
It analyzes the methodologies and limitations of shallow-learning-based and deep-learning-based techniques for ontology learning, and provides comprehensive knowledge for the frontier work of using large language models to enhance ontology learning.
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
Extensional knowledge provides information about the concrete instances that belong to specific concepts in the ontology, while intensional knowledge details inherent properties, characteristics, and semantic associations among concepts.
An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies
A natural way to reason with an inconsistent ontology is to utilize the maximal consistent subsets of the ontology.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
