Semantic Web Search based on Ontology Modeling using Protege Reasoner

TL;DR

This paper presents a semantic web search approach using ontology modeling and reasoning to improve search accuracy by understanding user intent and context, implemented via a PHP application.

Contribution

It introduces a novel semantic search method leveraging ontology modeling and reasoning with Protege, enhancing web search relevance.

Findings

Semantic search improves result relevance.

Ontology-based reasoning enhances understanding of user intent.

PHP implementation demonstrates practical applicability.

Abstract

The Semantic Web works on the existing Web which presents the meaning of information as well-defined vocabularies understood by the people. Semantic Search, at the same time, works on improving the accuracy if a search by understanding the intent of the search and providing contextually relevant results. This paper describes a semantic approach toward web search through a PHP application. The goal was to parse through a user's browsing history and return semantically relevant web pages for the search query provided.