Jana Herwig

Content Versatility in the KiWi Core System

It’s been five months since the last Joint Work Package (WP) meeting in the KiWi – Knowledge in a Wiki – project. This morning, we gathered in Vienna for the next round – focus this time around will be on the core system (architecture developed by the WP3 team, handing over and paving the way for WP 4 team) and the use cases (Logica, Sun Microsystems) where it is of particular importance that everyone involved in the project understands the requirements of the use cases.

In the first presentation today, Sebastian Schaffert from Salzburg Research gave us a tour of two different configurations of the KiWi system. The KiWi core system is oriented towards content versatility, meaning that content items can be displayed and used in various contexts and configurations. As a service to the user, KiWi uses Javascript-based WYSIWYG Editor TinyMCE enhanced with a few home-grown plug-ins which, for instance, make it easier to set links to other wiki pages. Memorizing wiki shorthand is sometimes a challenge, so this feature helps getting things done.

Using a different skin and interface, KiWi can take various forms and shapes – even shapes where you might not spot the wiki in it at first glance. TagIT is such an example of an adaptation of the KiWi core system: a geotagging platform targeting youth in Salzburg who can locate, tag and comment on places that matter to them.

Vice versa, KiWi in its wiki incarnation displays a little map, provided a content item is enhanced with geoinformation; technically, the map on the wiki page is an interpretation of a georelated tag (learn more about complex, structured tags proposed by the KiWi Enabling Technologies Work Package in this article: Usage Data Model Day in the KiWi Project).

Take a look at the screenshots below:

KiWi-Screenshot

It is the same article that is being displayed, in the first example using the classic KiWi interface, in the second example using the TagIT interface with the article appearing as an info page.

TagIt Screenshot

This afternoon, we expect to see another configuration of the system, in a presentation about how the system is specifically tailored to the needs of Logica’s “Knowledge Management for Project Management” usecase.

N.B. The system is not yet publicly available, if you have questions, please contact Sebastian Schaffert.

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Jana Herwig

Tag Recommender Evaluation – Anyone Can Particpate

The IWIS Group at the Dept. of Computer Science, University of Aalborg, Denmark, have just opened up their evaluation of a tag recommender system they are building; the component is to be part of the wiki-based, semantic knowledge management system KiWi (itself based on IkeWiki). Anyone interested in participating, please send an Email to Fred Durão at fred@cs.aau.dk.

Hi,
We are conducting an evaluation of a tag based recommender system with personalization we have developed here at the IWIS group at Aalborg University (http://iwis.cs.aau.dk) and in the context of KIWI project (http://www.kiwi-project.eu). We would be very grateful if you could help us with this task.

The recommendater system is based on a set of algorithms we are evaluating. Later we are planning to plug it into the KIWI system and develop an appropriate user interface for it. Currently, we are evaluating it based on Delicious data (tags and content). The recommendations will be processed by our recommender system based on the tags you placed in Delicious.

As personalization is a crucial aspect to us, we will give you a generated username and password to log onto the Delicious Web site. Therefore please send an e-mail back to us that you would like to participate. You only have to tag a minimum 10 web sites of your preference. Tag as much as you can!

Afterwards we are going to email you a list of recommendations to web sites that you might be interested. These are computed by our recommender system. We will ask you to mark the recommendations by YES if the sites recommended suits your preference or NO if it does not.

The achieved results will be published to all participants after the end of the analysis.

People interested in participate of this evaluation please send an email to fred@cs.aau.dk.

Best regards,

Fred Durão and Peter Dolog

Here is link to the FAQ.

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