activity
20182025
most citedSocial network modeling and applications, a tutorial

23 citations · 38 across the 12 of their papers we have counts for

collaborators

15 papers

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.AI2024★ 2 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.AI2024★ 3 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…

cs.AI2024

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…

cs.AI2024

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…

cs.AI2024

Commonsense Ontology Micropatterns

Andrew Eells, Brandon Dave, Pascal Hitzler +1

The previously introduced Modular Ontology Modeling methodology (MOMo) attempts to mimic the human analogical process by using modular patterns to assemble more complex concepts. T…

cs.CL2023

A Modular Ontology for MODS -- Metadata Object Description Schema

Rushrukh Rayan, Cogan Shimizu, Heidi Sieverding +1

The Metadata Object Description Schema (MODS) was developed to describe bibliographic concepts and metadata and is maintained by the Library of Congress. Its authoritative version…

cs.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…

cs.AI2023

An Ontology Design Pattern for Role-Dependent Names

Rushrukh Rayan, Cogan Shimizu, Pascal Hitzler

We present an ontology design pattern for modeling Names as part of Roles, to capture scenarios where an Agent performs different Roles using different Names associated with the di…

cs.AI2022★ 2 cited

Ontology Design Facilitating Wikibase Integration -- and a Worked Example for Historical Data

Cogan Shimizu, Andrew Eells, Seila Gonzalez +5

Wikibase -- which is the software underlying Wikidata -- is a powerful platform for knowledge graph creation and management. However, it has been developed with a crowd-sourced kno…

cs.AI2020★ 2 cited

Towards a Modular Ontology for Space Weather Research

Cogan Shimizu, Ryan McGranaghan, Aaron Eberhart +1

The interactions between the Sun, interplanetary space, near Earth space environment, the Earth's surface, and the power grid are, perhaps unsurprisingly, very complicated. The stu…

cs.AI2019★ 1 cited

Completion Reasoning Emulation for the Description Logic EL+

Aaron Eberhart, Monireh Ebrahimi, Lu Zhou +2

We present a new approach to integrating deep learning with knowledge-based systems that we believe shows promise. Our approach seeks to emulate reasoning structure, which can be i…

cs.AI2019

MODL: A Modular Ontology Design Library

Cogan Shimizu, Quinn Hirt, Pascal Hitzler

Pattern-based, modular ontologies have several beneficial properties that lend themselves to FAIR data practices, especially as it pertains to Interoperability and Reusability. How…

cs.HC2018★ 5 cited

Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach

Garrett Goodman, Tanvi Banerjee, William Romine +2

As pre-diagnostic technologies are becoming increasingly accessible, using them to improve the quality of care available to dementia patients and their caregivers is of increasing…