most citedOntology Population using LLMs

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.NC2025

On the Analogy between Human Brain and LLMs: Spotting Key Neurons in Grammar Perception

Sanaz Saki Norouzi, Mohammad Masjedi, Pascal Hitzler

Artificial Neural Networks, the building blocks of AI, were inspired by the human brain's network of neurons. Over the years, these networks have evolved to replicate the complex c…

cs.CY2025

An Ontology for Representing Curriculum and Learning Material

Antrea Christou, Chris Davis Jaldi, Joseph Zalewski +3

Educational, learning, and training materials have become extremely commonplace across the Internet. Yet, they frequently remain disconnected from each other, fall into platform si…

cs.DB2025

The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment

Rui Zhu, Cogan Shimizu, Shirly Stephen +25

Global challenges such as food supply chain disruptions, public health crises, and natural hazard responses require access to and integration of diverse datasets, many of which are…

cs.AI20242 cited

Accelerating Knowledge Graph and Ontology Engineering with Large Language Models

Cogan Shimizu, Pascal Hitzler

Large Language Models bear the promise of significant acceleration of key Knowledge Graph and Ontology Engineering tasks, including ontology modeling, extension, modification, popu…

cs.AI20243 cited

Ontology Population using LLMs

Sanaz Saki Norouzi, Adrita Barua, Antrea Christou +4

Knowledge graphs (KGs) are increasingly utilized for data integration, representation, and visualization. While KG population is critical, it is often costly, especially when data…