Smart Learning Applications with the combination of the Open Research Knowledge Graph and Teaching Knowledge Graphs

<p>Domain Knowledge Graphs (KGs) are increasingly adopted in education to support research and teaching in higher institutions. With the rise of Generative AI and its growing integration into these domains, KGs play a pivotal role in ensuring the quality and verifiability of educational resources, including content accuracy and source reliability. This vision paper explores the synergy between two semantic web initiatives, the Open Research Knowledge Graph (ORKG) and the Teaching Knowledge Graph for Knowledge Graph education, to advance Knowledge Graph-driven education. We outline the problem statement, review the state-of-the-art, and propose three real-world scenarios where integrating knowledge from these KGs can enhance smart learning applications and research support. Our work highlights the potential of combined KGs to improve e-learning while addressing challenges in content trustworthiness and AI-augmented education.</p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-12
DOI
https://doi.org/10.5281/zenodo.16912917
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Learning Applications with the combination of the Open Research Knowledge Graph and Teaching Knowledge Graphs

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Smart Learning Applications with the combination of the Open Research Knowledge Graph and Teaching Knowledge Graphs

article en

Abstract

<p>Domain Knowledge Graphs (KGs) are increasingly adopted in education to support research and teaching in higher institutions. With the rise of Generative AI and its growing integration into these domains, KGs play a pivotal role in ensuring the quality and verifiability of educational resources, including content accuracy and source reliability. This vision paper explores the synergy between two semantic web initiatives, the Open Research Knowledge Graph (ORKG) and the Teaching Knowledge Graph for Knowledge Graph education, to advance Knowledge Graph-driven education. We outline the problem statement, review the state-of-the-art, and propose three real-world scenarios where integrating knowledge from these KGs can enhance smart learning applications and research support. Our work highlights the potential of combined KGs to improve e-learning while addressing challenges in content trustworthiness and AI-augmented education.</p>

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 66%
Geochemistry and Geologic Mapping
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