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

Keywords: Digital library system, Ontology, Query expansion, Intelligent information retrieval