An Overview of the Integrated Justice Platform (IJP)

Monday, September 29th, 2025
Adam Pah, Georgia State University, and Kat Albrecht, Truman State University
Awards: An integrated platform to connect criminal justice data across data silos

In these episodes, Adam Pah and Kat Albrecht share information about the Integrated Justice Platform (IJP)’s queries, knowledge alignment, data flows, and more. Learn how the IJP Project will help improve the collective knowledge of criminal justice functioning and outcomes.

An Overview of the KN-Wildlife Project, A Multi-modal Knowledge Network for Comprehensive Wildlife Management

Tuesday, June 5th, 2025
Ethan A. Brown, Xiangqi Wang, Jason R. Rohr, Xiangliang Zhang, Notre Dame University
Awards: KN-Wildlife: A Multi-modal Knowledge Network for Comprehensive Wildlife Management

In this episode, Ethan A. Brown, Xiangqi Wang, Jason R. Rohr, and Xiangliang Zhang provide a project overview of the KN-Wildlife Project – A Multi-modal Knowledge Network for Comprehensive Wildlife Management, including a technical discussion of how the portal is built and maintained.

An Overview of the Supply and Demand Open Knowledge Network (SUDOKN)

Tuesday, May 20th, 2025
Farhad Ameri and Amar Yadav, Arizona State University
Awards: SUDOKN: Supply and Demand Open Knowledge Network

In this episode, Farhad Ameri and Amar Yadav share information about the Supply and Demand Open Knowledge Network (SUDOKN)’s structure, function, and capabilities. Sample use cases are also discussed.

An Overview of the SecureChain Project

Wednesday, October 15th, 2025
Tianyi Zhang and Xiangyu Zhang, Purdue University, Muhao Chen, University of California, Davis, Xiang Ren, University of Southern California
Awards: Knowledge Graph Construction for Resilient, Trustworthy, and Secure Software Supply Chains

In these episodes, Tianyi Zhang provides information about the SecureChain project – A Large-Scale Knowledge Graph for Software Supply Chain Security. Tianyi explains the knowledge graph’s use cases, value proposition, and future vision. He also explains the ontology’s design, entity resolution, and visual query interface.

An Overview of the BioBricks Project

Wednesday, October 15th, 2025
Thomas Luechtefeld, Insilica
Awards: BioBricks-OKG An Open Knowledge Graph For Cheminformatics And Chemical Safety

In this episode, Tom Luechtefeld provides an overview of the BioBricks-OKG project – a knowledge graph for chemical safety and toxicology. Tom covers agentic systems for toxicology, data retrieval, and live demos of tools like Toxindex.

An Overview of the SAWGraph Project

Wednesday, October 15th, 2025
Torsten Hahmann, Yinglun Zhang, Katrina Schweikert, David Kedrowski, and Adrita Barua, University of Maine
Awards: Safe Agricultural Products and Water Graph (SAWGraph): An OKN to Monitor and Trace PFAS and Other Contaminants in the Nation’s Food and Water Systems

In this episode, Torsten Hahmann, Yinglun Zhang, Katrina Schweikert, David Kedrowski, and Adrita Barua provide a technical review of the SAWGraph Project – An OKN to Monitor and Trace PFAS and Other Contaminants in the Nation’s Food and Water Systems.

An Overview of the RURAL-KG Project

Tuesday, October 21st, 2025
Jiaqi Gong and Xiaoming Guo, University of Alabama
Awards: Creating A Cross-Domain Knowledge Graph to Integrate Health and Justice for Rural Resilience

In this episode, Jiaqi Gong and Xiaoming Guo provide an overview of the RURAL-KG Project: Creating a Cross-Domain Knowledge Graph to Integrate Health and Justice for Rural Resilience. Together, they cover the project’s motivation, system architecture, and value proposition.

An Overview of the SPOKE Project

Wednesday, October 22nd, 2025
Sergio Baranzini, University of California, San Francisco
Awards: Connecting Biomedical information on Earth and in Space via the SPOKE knowledge graph

In this episode, Sergio Baranzini provides an overview of the SPOKE Project: Connecting Biomedical Information on Earth and in Space via the SPOKE Knowledge Graph. Sergio discusses the project’s current ecosystem, overall goals, information embedding, and more.

An Overview of the NIKG Project

Sunday, October 26th, 2025
Jing Gao, Purdue University, Fenglong Ma, Pennsylvania State University, Jingbo Shang, University of California San Diego, Daniel Semenza, Rutgers University
Awards: A Knowledge Graph Warehouse for Neighborhood Information

In this episode, Jing Gao, Jingbo Shang, and Daniel Semenza provide a technical review of the NIKG project – A Knowledge Graph Warehouse for Neighborhood Information. The team covers techniques on how to construct, utilize, and maintain the knowledge graph warehouse.

An Overview of the SOCKG Project

Monday, October 27th, 2025
Chengkai Li and Nasim Shirvani Mahdavi, University of Texas at Arlington
Awards: Digging in to Soil Carbon with USDA: A Knowledge Graph Informing Soil Carbon Modeling

In these episodes, Chengkai and Nasim provide an overview of the SOCKG Project: A Soil Organic Carbon Knowledge Graph. They discuss carbon farming practices, measurements and statistics, queries, ontology documentation generation, and more.

An Overview of the FRINK Project, FabRic Integrating Networked Knowledge

Monday, September 29th, 2025
Chris Bizon and Jim Balhoff, Renaissance Computing Institute (RENCI) at UNC-Chapel Hill
Awards: FabRic Integrating Networked Knowledge (FRINK)

In these episodes, Chris Bizon and Jim Balhoff of RENCI provide a closer look at the FRINK Project, including query APIs, graph technology, engagement opportunities, and future directions. Learn how FRINK is creating capabilities that allow for the uniform deployment, integration, and harmonization of knowledge graphs created under the Proto-OKN program.

An Overview of the SPIDER Project, Scalable Public Infrastructure for Distributed Entity Relationships

Thursday, June 12th, 2025
Volkmar Frinken, Onai
Awards: SPIDER: Scalable Public Infrastructure for Distributed Entity Relationships

In this episode, Volkmar Frinken provides a technical overview of SPIDER: Scalable Public Infrastructure for Distributed Entity Relationships.

The SPIDER team has also created demos for how to use their platform to support other Proto-OKN projects. View those demos using the links below.

SecureChain Demo
SUDOKN Demo
SOCKG Demo
CollabNext Demo
WEN-OKN Demo

An Education Gateway (EduGate) to the Prototype Open Knowledge Network

Friday, March 21st, 2025
Cogan Shimizu, Wright State University
Award: EduGate: An Education Gateway for the Proto-OKN

The first-ever Prototype Open Knowledge Network (Proto-OKN) is an NSF-funded initiative to facilitate the development and deployment of knowledge networks which enable data-driven, artificial intelligence-based solutions and actionable insights that will drive U.S. competitiveness. Learn more about the Proto-OKN with this video series.

Foundations and History of the Semantic Web

Tuesday, May 6th, 2025
Pascal Hitzler, Kansas State University
Awards: SAWGraph: Safe Agricultural Products and Water Graph and EduGate: An Education Gateway for the Proto-OKN

In this episode, Pascal Hitzler gives a brief overview of the 25+ years of history of the Semantic Web field. The field gained major traction in the early 2000s, with emphasis on research and applications of ontologies. Emphasis then shifted the Linked Data, published on the Web, in the late 00’s, before the rise of a more comprehensive and integrated paradigm referred to as knowledge graphs, in the early 2010s. We close the overview with a brief discussion of the promises of Large Language Models in the context of Knowledge Graph and Ontology Engineering.

AI for Entity Resolution: The Evolution of the Art
and ER Meets Knowledge Graphs & Downstream AI Applications

Wednesday, June 11th, 2025
Jeff Jonas and Paco Nathan
Senzing

In this presentation, Jeff Jonas discusses AI for entity resolution (ER), and Paco Nathan presents the role of ER in entity resolved knowledge graphs and RAG.

Knowledge Graph Conference (KGC) 2025 Presentations

May 5th – 9th, 2025
Cornell Tech NYC

Knowledge Graph Conference (KGC) 2025 included masterclasses & workshops on topics of the future- data architecture, graph neural networks, natural language processing, graph data science, ontologies and taxonomies, content knowledge graphs, Large Language Models (LLMs), and more.

Infrastructure Tools for the Proto-OKN: Lessons from Extracting Scientific OKNs

Wednesday, August 21st, 2024
Dr. Doug Downey
Allen Institute for AI, Northwestern University

Proto-OKN PIs, Co-PIs, and collaborators were invited to join this virtual webinar on scientific OKN infrastructure on August 21, 2024. Dr. Doug Downey is a researcher at the Allen Institute for AI where he directs the Semantic Scholar research group. His work focuses on Natural Language Processing (NLP) and Human-Computer Interactions (HCI) research aimed at helping scholars discover, understand, and synthesize scientific literature.

Relevant resources noted in this presentation include the following:

• Papermage: An open-source Python toolkit for processing visually-rich scientific documents
• PaperMage project demo
• Semantic scholar topic page beta
• SciRepEval benchmark for training and evaluating document representations
• SPECTER2 code for document embedding models for scientific tasks
• SPECTER2 models on hugging face
• ForeCite repository containing data and code related to the paper “High-Precision Extraction of Emerging Concepts from Scientific Literature”

This webinar will be the first in a virtual series designed to advance scientific research and collaboration among Proto-OKN researchers.

Proto-OKN Workshop

Tuesday, May 7th, 2024
Knowledge Graph Conference 2024
Cornell Tech NYC

The goal for this 90 minute workshop was to enlighten the broader KGC community about the various avenues available for contributing to the Proto-OKN initiative and to explore the multitude of ways Proto-OKN can be leveraged for specific application scenarios. The initiative is interested in fostering a deep connection with companies specializing in knowledge graph platforms, initiating discussions on the integration of knowledge graphs developed through various techniques, and addressing the challenge of answering complex queries by navigating across multiple graphs.

Chaitan Baru & Jemin George
Directorate for Technology, Innovation and Partnerships (TIP)
U.S. National Science Foundation