%0 Journal Article 
%T KeyConcept : Un motor de búsqueda conceptual
%D 2006
%U http://www.icesi.edu.co/revistas/index.php/sistemas_telematica/article/view/919
%X As the number of available Web pages
grows, users experience increasing
difficulty finding documents relevant
to their interests. One of the
underlying reasons for this is that
most search engines find matches
based on keywords, regardless of
their meanings. To provide the user
with more useful information, we
need a system that includes information
about the conceptual frame of the
queries as well as its keywords. This
is the goal of KeyConcept, a search
engine that retrieves documents based
on a combination of keyword and
conceptual matching. Documents are
automatically classified to determine
the concepts to which they belong.
Query concepts are determined automatically
from a small description
of the query or explicitly entered by
the user. This paper describes the
system architecture, the training of
the classifier, and the results of our
experiments evaluating system performance.
KeyConcept is shown to
significantly improve search result
precision through its use of conceptual
retrieval.
%K BÚSQUEDA CONCEPTUAL
%K CLASIFICACIÓN DE TEXTO
%K ONTOLOGÍA
%K Automatización y sistemas de control
%K Command and control system
%~ GOEDOC, SUB GOETTINGEN