ESF, topics and K-Collector
Wed Feb 25 22:08:05 GMT 2004 Permalink
Event Sharing, publishing, syndicating, etc. When we introduced the "when" part in the w4 concept, almost one year ago, what we had in mind was a space where events would be topics which could be aggregated in calendars and allowed users to navigate information using a timeline.
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Using the same approach we are using with topics, new events will be automatically distributed among members of a cloud allowing users to pick an event if it already exist instead of creating it.
There will also be relations between events and other topics on the server, which we believe will create a sigificant added value to the process (allowing, for example, to quickly move to all information related to an event to all information related to one of the participants).
[Paolo Valdemarin: Paolo's Weblog]
The When classification was always a key part of the overall vision of K-Collector. Being able to navigate sensibly based upon time & date is a very powerful concept.
One of the last things I did within liveTopics before moving on to K-Collector was to implement time as an XFML facet. This created a hierarchy of topics representing dates. For example there was a topic "2003". This in turn contained 12 sub-topics "Jan 2003" through "Dec 2003". Each of these topics contained a further division by date. Posts were linked to these topics based upon publication date. The upshot was that you could browse based on an increasingly specific date filter.
We will be looking to implement When topics in K-Collector in conjunction with ESF events. The idea will be to link the event (perhaps defined as a What topic), with a particular point in time (a When topic), a place (Where) and possibly people attending (Who). Hence an event will form a glue which binds together a number of different topics in a context.
Example:
- What
- blogtalk 2.0
- Where
- Vienna
- Who
- Thomas Burg
- When
- 5-Jul-2004
There are still issues to work out like: What about events which span multiple days? Do we represent time on the calendar? What about recurring events? And so on. But I think even a simple model which dodges many of these questions would be amply useful at this point.



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