Collections of digital documents can nowadays be found
everywhere in institutions, universities or companies. Examples are
Web sites or intranets. But searching them for information can
still be painful. Searches often return either large numbers of
matches or no suitable matches at all.
Such document collections can vary a lot in size and how much
structure they carry. What they have in common is that they
typically do have some structure and that they cover a limited
range of topics. The second point is significantly different from
the Web in general.
The type of search system that we propose in this book can
suggest ways of refining or relaxing the query to assist a user in
the search process. In order to suggest sensible query
modifications we would need to know what the documents are about.
Explicit knowledge about the document collection encoded in some
electronic form is what we need. However, typically such knowledge
is not available. So we construct it automatically.
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