A Theoretical Approach For Developing A Semantic Analysis IIR Tool

Abstract

An IIR (intelligent information retrieval) is a machine learning system used by users to retrieve the massive volume of information available through the 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 proposal is to choose a model that solves the issue using metadata case base and concept-based approach. The aim is to introduce a set of categories and concepts in the domain field that demonstrates some relations between them. As a result, poor quality of information retrieval in digital library system will be solved. The experiment has demonstrated 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.