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For instance, we are currently augmenting our departmental web site in KMi (Knowledge Media institute),
http://kmi.open.ac.uk , with semantic markup, by instantiating an ontology describing academic life [4] with information about
our personnel, projects, technologies, events, etc., which is automatically extracted from departmental databases and unstructured
web pages. In the context of standard, keyword-based search this semantic markup makes it possible to ensure that standard search
queries, such as "peter scott home page KMi", actually return Dr Peter Scott's home page as their first result, rather than some
other resource (as indeed is the case when using current non-semantic search engines on this particular query). Moreover,
as pointed out above, we can also query this semantic markup directly. For instance, we can ask a query such as
"which are the projects in KMi related to the semantic web area" and, thanks to an inference engine able to reason about the semantic
markup and draw inferences from axioms in the ontology, we can then get the correct answer.
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