Trust and Privacy in Knowledge Graphs
Daniel Schwabe, Carlos Laufer

TL;DR
This paper introduces the KG Usage framework to address trust, privacy, and transparency issues in knowledge graphs, demonstrated through a real-world example.
Contribution
The paper proposes a novel framework for integrating trust, privacy, and transparency features into knowledge graphs, supported by practical illustration.
Findings
Framework effectively supports trust and privacy concerns
Real-world example demonstrates practical applicability
Enhances transparency in knowledge graph usage
Abstract
This paper presents the KG Usage framework, which allows the introduction of KG features to support Trust, Privacy and Transparency concerns regarding the use of its contents by applications. A real-world example is presented and used to illustrate how the framework can be used.
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