The ontology presented in this paper completes and extends the Academic Events Ontology (AEON), which reuses several ontologies from the OBO foundry, especially the information artifact ontology (IAO). The present work formally represents the education-related event domain. The challenge is to describe the knowledge underlying the organization of educational meetings, academic and professional, and model it using semantic technologies. To capture and exchange structured knowledge in this domain, an ontology should address the organization of educational meetings in all steps, along with the associated scientific evidence base. It describes event formats, venues, calls for papers, the audience, information on submission, and fees. In addition, it addresses organizations and people involved in the process. The ontology was created using the NeOn methodology and OBO foundry guidelines for ontology development. Several domain experts also provided their expertise. The ontology is available on GitHub and licensed via an open-source license.

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The Use-Case of Enhanced AEON in Education

  • Cornelia Veja,
  • Christoph Schindler

摘要

The ontology presented in this paper completes and extends the Academic Events Ontology (AEON), which reuses several ontologies from the OBO foundry, especially the information artifact ontology (IAO). The present work formally represents the education-related event domain. The challenge is to describe the knowledge underlying the organization of educational meetings, academic and professional, and model it using semantic technologies. To capture and exchange structured knowledge in this domain, an ontology should address the organization of educational meetings in all steps, along with the associated scientific evidence base. It describes event formats, venues, calls for papers, the audience, information on submission, and fees. In addition, it addresses organizations and people involved in the process. The ontology was created using the NeOn methodology and OBO foundry guidelines for ontology development. Several domain experts also provided their expertise. The ontology is available on GitHub and licensed via an open-source license.