Intelligent Information Retrieval System

Abstract

An Intelligent Information Retrieval (IIR) is a machine learning system used by users
to retrieve the massive volume of information available through internet. IIR offers
personalization and efficiency in the current internet development allowing users to
examine and acquire appropriate information. The paper will focus on the keyword
searching issues of the current digital library system. The paper will analyze a model
that solves the issue using metadata case-based and concept-based approach. The
objective is to evaluate a set of categories and concepts in the domain field that
demonstrates some relations between them to elaborate how poor quality of
information retrieval in digital library system can be solved. The paper further argued
that the already developed domain-specific ontology can be efficient for query
advancement. Many researchers have used semantic retrieval technology using
concepts to solve problems that lack semantics in traditional retrieval technology.
Using concepts in ontology enhances search results