Academic events are an important part of scientific life. They fulfill various functions, such as improving networking in the scientific community, transmission of knowledge, and the formation of scholarly disciplines. In view of their importance, it is overdue to give them special attention in the context of research information systems. We aim to be able to answer relevant questions such as: Who was on the organizing committee? Who were the local organizers? The reviewers? Was an event part of a series? Who is responsible for the series? Who won awards presented at the event? What research outputs were presented at the event? We want to introduce ideas for an Academic Event Ontology (AEON), an ontology aiming to represent information regarding academic events. AEON is considered to support the identification, development, management, evaluation, and impact assessment of events, components of events and event series, as well as identification and reuse of works presented or developed at events. The ontology will be independent of knowledge, creative domain, or topics related to events. AEON is focused on events and assumes the representation of many entities associated with events such as attendees, locations, academic works, datetimes, and associated processes are defined in compatible ontologies.