6 citations · 12 across the 7 of their papers we have counts for
9 papers
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…
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…
From Field Data to Global Food Systems Intelligence: A Semantic Graph Framework for Sustainable Wheat Production
Nirmal Gelal, Aastha Gautam, Soheil Abadifard +15
In response to the growing need for structured, interoperable agricultural data, this paper presents the Sustainable Wheat Production Datahub, a modular, graph-based framework that…
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 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…