6 papers · 2 filters
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…
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…
Towards Complex Ontology Alignment using Large Language Models
Reihaneh Amini, Sanaz Saki Norouzi, Pascal Hitzler +1
Ontology alignment, a critical process in the Semantic Web for detecting relationships between different ontologies, has traditionally focused on identifying so-called "simple" 1-t…
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
Abhilekha Dalal, Rushrukh Rayan, Adrita Barua +3
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would help answer the question of what a deep learning syst…