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Applying Personal Knowledge Graphs to Health

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arxiv 2104.07587 v1 pith:6NRRDHXO submitted 2021-04-15 cs.AI

Sola Shirai , Oshani Seneviratne , Deborah L. McGuinness This is my paper · ORCID
classification cs.AI
keywords healthknowledgepersonalgraphsphkgschallengesremainssurrounding
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Knowledge graphs that encapsulate personal health information, or personal health knowledge graphs (PHKG), can help enable personalized health care in knowledge-driven systems. In this paper we provide a short survey of existing work surrounding the emerging paradigm of PHKGs and highlight the major challenges that remain. We find that while some preliminary exploration exists on the topic of personal knowledge graphs, development of PHKGs remains under-explored. A range of challenges surrounding the collection, linkage, and maintenance of personal health knowledge remains to be addressed to fully realize PHKGs.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems

    cs.IR 2026-04 conditional novelty 6.0 of 10

    Open-weight LLMs extract usable user-preference triples from recommendation dialogues for Personal Knowledge Graphs, with balanced small models often best for downstream recommendations.

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