Call for papers: Special Issue on

The Pedagogy and Praxis of Knowledge Graphs and the Semantic Web

The development, deployment, and usage of knowledge graphs (KGs) continues to grow in prevalence and importance, as they enable transformative and convergent research. However, to most effectively ensure the continued growth and current and future usability of a transdisciplinary KG ecosystem, the provision of -- and access to -- comprehensive education, training, and awareness pertaining to the capabilities, resources, limitations, and requirements of the gestalt and constituent techniques and technologies is necessary. Indeed, education is fundamental to nearly every aspect of the knowledge graph ecosystem and, furthermore, every role which will support its construction, usage, maintainability, and sustainability.

Similarly, as the importance, growth, and integration of AI (especially large language models) in many tasks, such as programming assistants or co-pilots, we wish to see similar capability for knowledge engineering tasks. Thus, large corpora of examples of knowledge engineering artifacts (e.g., ontologies developed by students in different stages of their academic preparation) become important to use during training -- or to protect so that they do not become memorized!

Conversely, knowledge graphs (and in particular their schemas, especially if implemented as ontologies) are excellent ways of modeling a domain, and connecting across heterogeneous data. This means that a knowledge graph, in a similar manner to a concept map, can be exceptionally useful as a teaching tool. Indeed, the interconnected articles on Wikipedia constitute one form of a knowledge graph. Knowledge graphs, or other semantic resources, can be effective mechanisms for conveying how different knowledge is connected, and thus demonstrate to students

For this special issue, we invite submissions which advance our ability to instruct, educate, and inspire a new generation of knowledge graph enthusiasts, engineers, and professionals across a wide variety of roles (e.g., from stakeholders to implementers to practitioners). Additionally, we invite submissions pertaining to the use of knowledge graphs in educational contexts. Finally, we also wish to collect descriptions of pedagogical outcomes from courses, summer schools, etc. to assess efficacy of instruction, but also for use in the training and construction of neurosymbolic systems.

Guest Editors

Guest Editors can be collectively addressed at edugate @ wright.edu

Cogan Shimizu, Assistant Professor, Wright State University
Pascal Hitzler, Professor, Kansas State University
Florence D. Hudson, Executive Director, Northeast Big Data Innovation Hub
Hande Küçük McGinty, Assistant Professor, Kansas State University
Francois Scharffe, Co-Founder, Knowledge Graph Conference

Guest Editorial Board

Timm Capstein
Catherine Faron
Filip Ilievski
Ora Lassila
Agnieszka Ławrynowicz
Ryan McGranaghan
Maria Poveda
Nicole Vasilevsky

Themes, Topics, and Submission Modes

• Education Research – these submissions should examine the principled execution of education research and be submitted as full papers.
  • Example: formal evaluation of KG educational material
  • Example: formal evaluation of use of KGs as educational material
• Descriptions of Open Source KG/SW Educational Material – these submissions should follow the Dataset Descriptions or Descriptions of Ontologies submission criteria of the SWJ, where appropriate. The Open Source Educational Materials must be made publicly available and obviously and permissibly licensed.
  • Example: A lecture series on fundamental KG education
  • Example: A KG which supports education in a domain
  • Example: An Ontology of Educational Practices
• Reports on and Applications of OS KG/SW Educational Material & Tools – these submissions should follow Application reports or Reports on tools and systems submission criteria, as appropriate.
  • Example: A Case Study (with significant discussion and lessons learned) on Using an Educational KG in Class
• Surveys – however, we do not wish to have overlapping surveys, and any prospective authors should first contact the Guest Editors before embarking on their work.

Deadline

• Submission deadline: 30th September 2024. Papers submitted before the deadline will be reviewed upon receipt.