ACIRD: Intelligent Internet Document Organization and Retrieval

Abstract

Automatic Classifier for the Internet Resource Discovery (ACIRD) is a smart Internet information system that employs machine learning to categorize and retrieve documents from the Internet. It is presented in this article. The three parts that make 
up ACIRD are a two-stage search engine, a document classifier, and a knowledge acquisition procedure. Automatically acquiring classification information from classified Internet documents is part of ACIRD’s knowledge acquisition methodology. In order 
to sort freshly acquired documents from the Internet into one or more categories, the document classifier uses its learnt categorization expertise. When compared to human specialists, ACIRD achieves comparable or higher performance in knowledge 
acquisition and document categorization, according to the experimental findings. In order to help users find information from diverse and large-scale Internet documents, the ACIRD two-phase search engine uses the learned classification knowledge and the provided class lattice to provide results that are hierarchically organized and easy to navigate, rather than the usual flat ranked document list.