Description
The Open Knowledge Network workshop will be held on Tuesday, May 9th, 2023, in conjunction with the KGC Conference, May 8-12, Cornell Tech, NYC.
The full-day workshop will feature invited talks, submitted presentations, a panel, and group discussion on the open knowledge network (OKN)—an effort to develop an open information infrastructure based on an interconnected network of knowledge graphs that serves as essential public-data infrastructure to facilitate integration of diverse information needed to develop solutions to a wide range of societal issues from economic development to climate change and social equity.
On March 23, 2023, NSF announced the solicitation for Building the Prototype Open Knowledge Network (Proto-OKN), with a submission due date of June 20, 2023.
The vision for an open knowledge network was part of the National Science Foundation’s Harnessing the Data Revolution Big Idea. In 2019, the NSF Convergence Accelerator funded 21 projects on open knowledge network under its Track A Phase 1. In 2020, five of these projects were selected for Phase 2. In February 2022, the National Science Foundation in partnership with the White House Office of Science and Technology Policy, launched an OKN Innovation Sprint, which harnessed the collective insights of roughly 150 experts from government, industry, academia, and nonprofit organizations to help build a roadmap for a Prototype OKN (Proto-OKN), based on specific use cases and various end-user perspectives. The findings from this Sprint are summarized in the OKN Roadmap Report. It is clear that creation of OKN is more so a sociotechnical effort, that must consider human, social and organizational factors, than simply a technical effort. Deep engagement is necessary among domain knowledge experts and a host of other stakeholders including data owners, decision-makers, various end-user communities, tool builders, and knowledge representation experts.
This workshop will feature invited talks, panels, and paper presentations related to creation and use of knowledge graph-based information structures, focusing on reusable infrastructure as opposed to creation of bespoke knowledge graphs that apply only to specific applications with no attempt to enable reuse of the information structures.
Venue: Online
Agenda (Tentative)
9:00AM – 9:30AM Introduction
Introduction to Open Knowledge Network, Chaitan Baru, Jemin George, TIP Directorate, National Science Foundation
9:30AM – 11:10AM Session 1: NSF Convergence Accelerator Track A and Industry Presentations (20+5 mts each)
NSF Convergence Accelerator Track A: OKN
Combining ontologies with AI to synthesize summaries of technical documents, Adam Robert Pah, Northwestern University, Doug Downey, Allen AI Institute,
Towards meta knowledge graphs: First step in integrating minimally overlapping knowledge graphs, Sergio, Baranzini, UCSF, Krzysztof Janowicz, UCSF, Lilit Yeghazarian, Univ of Cincinnati
Industry Presentations
Leveraging Knowledge Graphs for Legal Search and Supply Chain, Vinay Chaudhri, JP Morgan
Thoughts about Interoperability and Open Standards for Knowledge Graphs, Ora Lassila, Amazon
11:10AM - 11:30AM BREAK
11:30AM - 12:30PM Panel on Federal Government Use Cases for Open Knowledge Network
Moderators: Chaitan Baru, Jemin George, TIP Directorate, NSF
Panelists:
Ryan Berkhiemer, NOAA
Lauren Sanders, NASA GeneLab
Elizabeth Groff, Office of the Director, National Institute of Justice
Haluk Resat, Office of Strategic Coordination, NIH
Dalia Varanka, National Geospatial Technical Operations Center, USGS
1230-1330 LUNCH
1330-1445 Session 2: Graph Tools and Landscape (20+5 mts each)
Realizing OKN: State-of-the-Art Technologies for Building and Maintaining KGs, OKN Services, and Building KG-enhanced Applications, Prof. Amit Seth, University of South Carolina
JP Morgan Graph Landscape, Yawwani Gunawardana, JP Morgan Chase
Ordering "Big Results" from Interconnected Biomedical Knowledge Graphs, Sharat Israni, UCSF
1445 -1515 BREAK
1515-1630 Discussion and Next Steps
Program Committee
Chaitan Baru, TIP Directorate, NSF (Chair)
Jemin George, ITE Division, TIP Directorate, NSF (Co-chair)
Ryan Berkhiemer, NOAA
Samrawit Gebre, NASA Ames GeneLab
Elizabeth Groff, Office of the Director, NIJ
Haluk Resat, Office of Strategic Coordination, NIH
Lauren Sanders, NASA Ames GeneLab
Dalia Varanka, National Geospatial Technical Operations Center, USGS