Identify Web-page Content meaning using Knowledge based System for Dual Meaning Words

TL;DR

This paper proposes a knowledge-based system to accurately identify the true meaning of web pages containing dual-meaning words, addressing the mismatch between stored metadata and actual content.

Contribution

It introduces a novel mechanism for determining web page content meaning when dual-meaning words are present, improving content understanding accuracy.

Findings

Enhanced accuracy in web content interpretation

Effective handling of dual-meaning words in web pages

Improved search result relevance

Abstract

Meaning of Web-page content plays a big role while produced a search result from a search engine. Most of the cases Web-page meaning stored in title or meta-tag area but those meanings do not always match with Web-page content. To overcome this situation we need to go through the Web-page content to identify the Web-page meaning. In such cases, where Webpage content holds dual meaning words that time it is really difficult to identify the meaning of the Web-page. In this paper, we are introducing a new design and development mechanism of identifying the Web-page content meaning which holds dual meaning words in their Web-page content.