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Workshop Personal Health Knowledge Graphs - Part 2

Electronic health records (EHRs) have become a popular source of observational health data for learning insights that could inform the treatment of acute medical conditions. Their utility for learning insights for informing preventive care and management of chronic conditions however, has remained limited. For this reason, the addition of social determinants of health (SDoH) [1] and ‘observations of daily living’ (ODL) [2] to the EHR have been proposed. This combination of medical, social, behavioral and lifestyle information about the patient is essential for allowing medical events to be understood in the context of one’s life and conversely, allowing lifestyle choices to be considered jointly with one’s medical context; it would be generated by both patients and their providers and potentially useful to both for decision-making. We propose that the personal health knowledge graph is a semantic representation of a patient’s combined medical records, SDoH and ODLs. While there are some initial efforts to clarify what personal knowledge graphs are [3] and how they may be made specific for health [4, 5], there is still much to be determined with respect to how to operationalize and apply such a knowledge graph in life and in clinical practice. There are challenges in collecting, managing, integrating, and analyzing the data required to populate the knowledge graph, and subsequently in maintaining, reasoning over, and sharing aspects of the knowledge graph. Importantly, we recognize that it would not be fruitful to design a universal personal health knowledge graph, but rather, to be use-case driven. In this workshop, we aim to gather health practitioners, health informaticists, knowledge engineers, and computer scientists working on defining, building, consuming, and integrating personal health knowledge graphs to discuss the challenges and opportunities in this nascent space.
May 5th 2020, 12:30pm EST
Healthcare, Privacy

Jim Hendler


Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at Rensselaer Polytechnic Institute

James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI. He also is acting director of the RPI-IBM Artificial Intelligence Research Collaboration and serves as a member of the Board of the UK’s charitable Web Science Trust. Hendler has authored over 400 books, technical papers and articles in the areas of Semantic Web, artificial intelligence, agent-based computing and high-performance processing. Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the AAAI, BCS, the IEEE, the AAAS and the ACM. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is the first computer scientist ever to have served on the Board of Reviewing editors for Science. In 2010, Hendler was named one of the 20 most innovative professors in America by Playboy magazine and was selected as an “Internet Web Expert” by the US government. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, became a member of the National Academies Board on Research Data and Information, in 2017 a member of the Director’s Advisory Committee of the National Security Directorate of PNNL, and in 2018 became chair of the ACM’s US technology policy committee and was elected a Fellow of the National Academy of Public Administration. Selected Service, Fellowships, Awards and Honors Fellow, US National Academy of Public Administration, 2018. Chair, US ACM Technology Policy Committee, 2018 Member, Directors Advisory Committee, National Security Directorate, PNNL, 2017 - Distinguished Service Award, Association for Advancement of Artificial Intelligence, 2017. Member National Academy Board on Research Data and Information, 2016-pres. Member, Homeland Security Science and Technology Advisory Committee, 2015- pres. AMIA Spotlight Award, Association of Moving Image Archivists, 2016. Open Data Advisor, New York State, 2013 – pres. Invited Expert (Cyber Resiliency), World Economic Forum, Davos, Switzerland, 2013. Data Innovation Award – Open Data, Strata Data Conference Oct 2012, NY, NY. Fellow: AAAI, 1999; British Computer Society, 2007; IEEE, 2009, AAAS 2012, ACM, 2016. Board of Reviewing Editors, Science, 2004-2017. EIC, IEEE Intelligent Systems, 1/05-12/08. US Air Force Exceptional Civilian Service Medal, 10/02. Funding: PI or Co-PI on over $50 million in grants from US federal agencies, 1986-pres Recipient of over $30 million in Industrial gifts or contracts, 1986-pres His most recent book is “Social Machines: the coming collision of artificial intelligence, social networks and humanity” (Apress, 2016). A complete curriculum vita for Dr. Hendler is available from

Ruben Verborgh


Ghent University

Ruben Verborgh is a professor of Decentralized Web technology at IDLab, Ghent University – imec, and a research affiliate at the Decentralized Information Group of CSAIL at MIT. Additionally, he acts as a technology advocate for Inrupt and the Solid ecosystem wherein people and organizations control their own data. He aims to build a more intelligent generation of clients for a decentralized Web at the intersection of Linked Data and hypermedia-driven Web APIs.

D - Workshops


Workshops on Knowledge Graphs for Social Good and Personal Health Knowledge Graphs

May 4-7, 2020


Knowledge Graphs form an organized and curated set of facts that provide support for models to help understand the world. This conference gathers technology leaders, researchers, academics, vendors — and most importantly, practitioners, who know the discipline. For KGC 2020, attendees can participate from wherever they want in the world, from the comfort of their homes. We will stream the content, provide access to our speakers and support chat and networking as well as give access to all of the content live and on-demand after the event.