A Domain Specific Ontology Based Semantic Web Search Engine

TL;DR

This paper presents a domain-specific semantic web search engine designed to improve search accuracy for agricultural information about West Bengal by leveraging semantic web technologies.

Contribution

It introduces a novel semantic web search engine utilizing a domain-specific ontology to enhance search precision in a specialized agricultural domain.

Findings

Provides exact search results for agricultural queries

Demonstrates effectiveness of ontology-based search in a specific domain

Improves retrieval accuracy over traditional keyword-based search

Abstract

Since its emergence in the 1990s the World Wide Web (WWW) has rapidly evolved into a huge mine of global information and it is growing in size everyday. The presence of huge amount of resources on the Web thus poses a serious problem of accurate search. This is mainly because today's Web is a human-readable Web where information cannot be easily processed by machine. Highly sophisticated, efficient keyword based search engines that have evolved today have not been able to bridge this gap. So comes up the concept of the Semantic Web which is envisioned by Tim Berners-Lee as the Web of machine interpretable information to make a machine processable form for expressing information. Based on the semantic Web technologies we present in this paper the design methodology and development of a semantic Web search engine which provides exact search results for a domain specific search. This search engine is developed for an agricultural Website which hosts agricultural information about the state of West Bengal.