Abstract:
A digital library is a type of information
retrieval (IR) system. The existing information
retrieval methodologies generally have problems
on keyword-searching. We proposed a model to
solve the problem by using concept-based
approach (ontology) and metadata case base. This
model consists of identifying domain concepts in
user’s query and applying expansion to them. The
system aims at contributing to an improved
relevance of results retrieved from digital libraries
by proposing a conceptual query expansion for
intelligent concept-based retrieval. We need to
import the concept of ontology, making use of its
advantage of abundant semantics and standard
concept. Domain specific ontology can be used to
improve information retrieval from traditional
level based on keyword to the lay based on
knowledge (or concept) and change the process of
retrieval from traditional keyword matching to
semantics matching. One approach is query
expansion techniques using domain ontology and
the other would be introducing a case based
similarity measure for metadata information
retrieval using Case Based Reasoning (CBR)
approach. Results show improvements over
classic method, query expansion using general
purpose ontology and a number of other
approaches.
