The
Personal Health Knowledge Graph Workshop

4 May 2021, Virtual

About The PHKG Workshop

About The Event

This workshop is co-located with the 2021 Knowledge Graph Conference.

We seek original contributions describing theoretical and practical methods and techniques for building and maintaining personal health knowledge graphs. The workshop will cover topics around data integration, data profiling, data curation, querying, knowledge discovery, ontology mapping, matching, reconciliation, machine learning approaches, and applications of personal health. We will have several invited speakers who are thought leaders in this space. Furthermore, we plan to have a panel discussion comprising experts from industry, government, and academia. In summary, the primary objectives of this workshop will be to provide a platform to discuss:

  • Definitions of personal health knowledge graphs
  • Opportunities for the application of personal health knowledge graphs
  • Challenges of creating and maintaining a personalized health knowledge graph
  • Opportunities for knowledge graph research in this space

Where

Virtual

When

Tuesday 4th May 2021


Call for Extended Abstracts

We invite extended abstracts that include discussions related to the following topics.

  • Applications of personal health knowledge graphs
  • Models to encode the relevant information in a personal health knowledge graph
  • Perspectives on personal health
  • Interoperability aspects when integrating personal health data from disparate sources
  • Reasoning and querying over a personal health knowledge graph
  • Adaptively contextualizing personal health knowledge graphs
  • Techniques for keeping personal health knowledge graphs current
  • Ensuring privacy and security for a personal health knowledge graph
  • Real-world use cases that create or consume personal health knowledge graphs

The extended abstracts must be 1-page long (references excluded), in single-column (full page) format, with at least 1-inch margins, and font size of 11pt (times roman) or higher.

Please submit your abstracts at https://easychair.org/conferences/?conf=phkg2021 no later than April 16, 2021 11:59 AoE.

High quality submissions with substantial revisions will be invited to submit to a special issue on Personal Health Knowledge Graphs of the Data Intelligence Journal published by MIT Press. If your workshop submission is invited for the journal special issue, the expanded final paper to the journal is due by July 31, 2021. The journal special issue is expected to be published by December 25, 2021.

Important Dates

Abstract Deadline April 16, 2021 11:59 AoE April 4, 2021 11:59 AoE (Deadline extended!)
Acceptance Notificaions April 19, 2021 11:59 AoE
Workshop Presentations May 4 2021 10:00-15:00 EST
Extended versions of invited paper submission to the Data Intelligence Journal July 31, 2021 11:59 AoE
Publication of the Journal special issue on Personal Health Knowledge Graphs December 25, 2021

Invited Speakers

Please click on the invited speakers' thumbnails to learn more about their talks.

Xin Luna Dong

Xin Luna Dong

Self-driving product understanding for thousands of categories

Tara Safavi

Tara Safavi

Toward Activity Discovery in the Personal Web

Honghan Wu

Honghan Wu

Surface semantics from electronic medical records with knowledge graph technologies

Schedule

TBD


Organizers

Amar Das

Amar Das

Merck

Ying Ding

Ying Ding

University of Texas Austin

Deborah McGuinness

Deborah McGuinness

Rensselaer Polytechnic Institute

Oshani Seneviratne

Oshani Seneviratne

Rensselaer Polytechnic Institute

Mohammed J Zaki

Mohammed J Zaki

Rensselaer Polytechnic Institute

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