Keeping Knowledge Graphs Alive: Constructing, Growing, and Sustaining Knowledge Graphs for the Long Haul

Knowledge graphs (KGs) have emerged as fundamental infrastructure for organizing and structuring vast amounts of information across various domains. However, building and maintaining large-scale KGs presents significant challenges-not only in terms of initial construction but also in ensuring their long-term sustainability. Traditional approaches to KG development and maintenance often rely on institutional funding, making them vulnerable to resource constraints. In this keynote, I will discuss alternative community-driven models for sustainable knowledge graph construction and maintenance, emphasizing grassroots-level engagement, decentralized curation, and incentivized reuse of knowledge assets. I will discuss how leveraging collaborative contributions, open governance models, and incentive structures-including blockchain-based provenance tracking and reputation systems-can promote long-term commitment without dependence on centralized management.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3719144
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Keeping Knowledge Graphs Alive: Constructing, Growing, and Sustaining Knowledge Graphs for the Long Haul

Oshani Seneviratne
Data Quality and Management
article

Keeping Knowledge Graphs Alive: Constructing, Growing, and Sustaining Knowledge Graphs for the Long Haul

Oshani Seneviratne
article en

Abstract

Knowledge graphs (KGs) have emerged as fundamental infrastructure for organizing and structuring vast amounts of information across various domains. However, building and maintaining large-scale KGs presents significant challenges-not only in terms of initial construction but also in ensuring their long-term sustainability. Traditional approaches to KG development and maintenance often rely on institutional funding, making them vulnerable to resource constraints. In this keynote, I will discuss alternative community-driven models for sustainable knowledge graph construction and maintenance, emphasizing grassroots-level engagement, decentralized curation, and incentivized reuse of knowledge assets. I will discuss how leveraging collaborative contributions, open governance models, and incentive structures-including blockchain-based provenance tracking and reputation systems-can promote long-term commitment without dependence on centralized management.

Rensselaer Polytechnic Institute (US)
National Science Foundation
Zero hunger
Openalex Percentile: Top 87%
Data Quality and Management
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