Event standards? The Event Ontology and Events-ML

Reading a paper from last year’s Knowledge Capture (K-CAP 2009) academic conference, I came across some references to various “event standards”. All of these were very domain specific, but 2 seemed they might have more generic uses.

One was Events-ML G2 from the International Press Telecommunications Council for registering “events as in conferences, meetings etc” (rather than the sorts of events the CEP world is mainly interested in). The event schema therefore includes properties such as phone and contact details, implicitly recording the observer’s data on the event (as opposed to some observer identifier from which that and other data could be gleaned, presumably). On the other hand they did have a nice test form!).

There was also an “Event Ontology” defined as part of a Music Ontology (!) project. Things started well when the authors stated:

This ontology is centered around the notion of event, seen here as the way by which cognitive agents classify arbitrary time/space regions, which is essentially the view expressed by Allen and Fergusson [or its HTML version via Google].

The next quote was less impressive though, seemingly going beyond abstraction and on into the realm of philosophy…

[..] events are primarily linguistic or cognitive in nature. That is, the world does not really contain events. Rather, events are the way by which agents classify certain useful and relevant patterns of change.

Reviewing their definition of event we see relationships between event and:

• place and time
• factors and products
• agents (acting on the events)

Presumably from the musician’s point of view, a set of notes (as events) may combine into a musical chord (an event product) – or in other words, agents combine events and context (“factors”) to define complex events (“products”). So not a million miles away from the EPTS’ labors on the EPTS Glossary, newly refreshed in a draft version 2…