City Research Online

Abstract

The effective education and training of knowledge graph (KG) practitioners and students is critical for sustaining the growth and utility of the KG ecosystem. This paper introduces the Teaching KG, a novel educational resource catalogue designed to enhance KGs education. The Teaching KG integrates pedagogically enriched components such as skills, knowledge topics, courses, instructors, and educational materials, offering a semantically structured framework that supports diverse educational needs. By leveraging a high-level ontology and semantic constraints, it facilitates the integration of educational content, ensuring consistency and scalability. We present use cases that demonstrate the resource’s applicability as an instructional tool for KG instructors, learners, and technology-enhanced learning applications. Preliminary evaluations highlight its potential to support KG course instructors in finding similar courses, enhancing their courses and locating relevant resources. This work contributes to the ongoing project on the role of educational KGs [1], proposing a methodology to consolidate the collaborative initiatives within the Semantic Web community. The result is a centralized hub that interlinks resources, courses, and instructors to foster a more cohesive educational KG ecosystem.

GitHub project: https://github.com/Teaching-Knowledge-Graph/TeachingKG

Publication Type:	Article
Additional Information:	© 2026. This is the accepted manuscript of an article published by Sage. Please refer to the publisher’s terms and conditions for information on re-use.
Publisher Keywords:	Educational KG, Personal KGs, Domain Model, User Model
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology School of Science & Technology > Department of Computer Science
SWORD Depositor:	Symplectic Administrator

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