5 citations · 13 across the 14 of their papers we have counts for
12 papers · 1 filter
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…
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…
Knowledge in Triples for LLMs: Enhancing Table QA Accuracy with Semantic Extraction
Hossein Sholehrasa, Sanaz Saki Norouzi, Pascal Hitzler +1
Integrating structured knowledge from tabular formats poses significant challenges within natural language processing (NLP), mainly when dealing with complex, semi-structured table…
The S2 Hierarchical Discrete Global Grid as a Nexus for Data Representation, Integration, and Querying Across Geospatial Knowledge Graphs
Shirly Stephen, Mitchell Faulk, Krzysztof Janowicz +10
Geospatial Knowledge Graphs (GeoKGs) have become integral to the growing field of Geospatial Artificial Intelligence. Initiatives like the U.S. National Science Foundation's Open K…
The KnowWhereGraph Ontology
Cogan Shimizu, Shirly Stephe, Adrita Barua +21
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate…
ConceptLens: from Pixels to Understanding
Abhilekha Dalal, Pascal Hitzler
ConceptLens is an innovative tool designed to illuminate the intricate workings of deep neural networks (DNNs) by visualizing hidden neuron activations. By integrating deep learnin…