The success of the internet is radically transforming the way people work, study,
shop and communicate. But the next generation web now being developed could see
it doing many more tasks for us, thanks to intelligent software capable of
interpreting meaning to understand our needs better. For instance, future search
engines will no longer merely look for key words and pick out all the websites
which contain them; instead they will be able to interpret the meaning of the
question they are given, using a new generation 'semantic mark-up' language
which is being developed by researchers across the world. More significantly,
it also makes possible the development of 'smart agents' which can collaborate
with one another on our behalf.
ASPL/Magpie semantic engine
Magpie (or Advanced Semantic
Platform for Learning, ASPL - as it is known in KnowledgeWeb)
is an experimental Semantic Web 'filter' developed at The Open
University's Knowledge Media Institute. It works as a streamlined
toolbar that sits within your web browser, and helps you find
and further elaborate things you are interested in. In the context
of climateprediction.net, it is a fair bet that you have some
interest in climate prediction, but Magpie has broader applicability
as well. Magpie automatically highlights key items of interest
within any web page you visit, and for each highlighted term
it provides a set of 'services' (e.g. explanations, examples,
further links) when you right-click on the item.
Evaluation of the Magpie/ASPL demonstrator
If you would like to try out our Magpie/ASPL demonstrator (version 1), please,
download first the
actual Magpie/ASPL software, and then download and fill in
the
evaluation questionnaire. In addition, you can use the
ASPL
Readme file that briefly summarizes the key aspects of using ASPL.

Software requirements
Magpie currently works with Microsoft Internet Explorer 5.5 or greater
or alternatively with Mozilla compatible browsers 1.6 or greater. You
can download the Mozilla version of ASPL/Magpie plug-in from this location.
Find out more
Visit the main Magpie project page.
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