# An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap

arXiv: https://arxiv.org/abs/2304.09572 · HTML: https://mlsanity.com/paper/2304.09572/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- Builds on 13 of its 80 references that are in the map.
- First posted on arXiv 19 Apr 2023.

## Builds on (most cited first, 13 of 13)

- [Personalizing Dialogue Agents: I have a dog, do you have pets too?](https://mlsanity.com/paper/1801.07243/) (2018)
- [Knowledge Graphs](https://mlsanity.com/paper/2003.02320/) (2020)
- [Training Millions of Personalized Dialogue Agents](https://mlsanity.com/paper/1809.01984/) (2018)
- [Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases](https://mlsanity.com/paper/2009.11564/) (2020)
- [Neural Open Information Extraction](https://mlsanity.com/paper/1805.04270/) (2018)
- [Learning Personalized End-to-End Goal-Oriented Dialog](https://mlsanity.com/paper/1811.04604/) (2018)
- [Listening between the Lines: Learning Personal Attributes from Conversations](https://mlsanity.com/paper/1904.10887/) (2019)
- [Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph](https://mlsanity.com/paper/2010.10409/) (2020)
- [Personal Health Knowledge Graphs for Patients](https://mlsanity.com/paper/2004.00071/) (2020)
- [Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations](https://mlsanity.com/paper/2110.10131/) (2021)
- [Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data](https://mlsanity.com/paper/2103.09311/) (2021)
- [Personal Research Knowledge Graphs](https://mlsanity.com/paper/2204.11428/) (2022)
- [A Neural Architecture for Person Ontology population](https://mlsanity.com/paper/2001.08013/) (2020)

## Built on by (most cited first, 11 of 11)

- [User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation](https://mlsanity.com/paper/2501.04410/) (2025)
- [Education in the Era of Neurosymbolic AI](https://mlsanity.com/paper/2411.12763/) (2024)
- [The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes](https://mlsanity.com/paper/2505.17500/) (2025)
- [AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem](https://mlsanity.com/paper/2603.08938/) (2026)
- [Toward Personalizing Quantum Computing Education: An Evolutionary LLM-Powered Approach](https://mlsanity.com/paper/2504.18603/) (2025)
- [PKG API: A Tool for Personal Knowledge Graph Management](https://mlsanity.com/paper/2402.07540/) (2024)
- [Towards Computer-Using Personal Agents](https://mlsanity.com/paper/2503.15515/) (2025)
- [RUVA: Personalized Transparent On-Device Graph Reasoning](https://mlsanity.com/paper/2602.15553/) (2026)
- [The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI](https://mlsanity.com/paper/2603.06290/) (2026)
- [Personal Care Utility: Health as Everyday Infrastructure](https://mlsanity.com/paper/2606.14145/) (2026)
- [From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems](https://mlsanity.com/paper/2607.00003/) (2026)

## Abstract (arXiv)

This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly defined as resources of structured information about entities related to an individual, their attributes, and the relations between them. PKGs are a key enabler of secure and sophisticated personal data management and personalized services. However, there are challenges that need to be addressed before PKGs can achieve widespread adoption. One of the fundamental challenges is the very definition of what constitutes a PKG, as there are multiple interpretations of the term. We propose our own definition of a PKG, emphasizing the aspects of (1) data ownership by a single individual and (2) the delivery of personalized services as the primary purpose. We further argue that a holistic view of PKGs is needed to unlock their full potential, and propose a unified framework for PKGs, where the PKG is a part of a larger ecosystem with clear interfaces towards data services and data sources. A comprehensive survey and synthesis of existing work is conducted, with a mapping of the surveyed work into the proposed unified ecosystem. Finally, we identify open challenges and research opportunities for the ecosystem as a whole, as well as for the specific aspects of PKGs, which include population, representation and management, and utilization.