Introducing a New Mechanism for Construction of an Efficient Search Model

TL;DR

This paper presents a multilevel indexing mechanism on top of IBAG to support multiple ontologies and improve search efficiency, reducing search time in web search engines.

Contribution

It introduces a novel multilevel indexing approach on IBAG that supports multiple ontologies and enhances search efficiency compared to existing models.

Findings

Reduced search time through multilevel indexing

Supports multiple ontologies in web search

Provides a comparative analysis of time complexity

Abstract

Search engine has become an inevitable tool for retrieving information from the WWW. Web researchers introduce lots of algorithms to modify search engine based on different features. Sometimes those algorithms are domain related, sometimes they are Web page ranking related, and sometimes they are efficiency related and so on. We are introducing such a type of algorithm which is multiple domains as well as efficiency related. In this paper, we are providing multilevel indexing on top of Index Based Acyclic Graph (IBAG) which support multiple Ontologies as well as reduce search time. IBAG contains only domains related pages and are constructed from Relevant Page Graph (RPaG). We have also provided a comparative study of time complexity for the various models.