Semantic Web Search based on Ontology Modeling using Protege Reasoner
This work addresses the challenge of enhancing search relevance for web users by integrating semantic technologies, though it appears incremental as it applies existing methods like Protege to a specific application.
The paper tackled the problem of improving web search accuracy by developing a semantic approach that parses user browsing history to return contextually relevant pages, achieving a system that understands search intent through ontology modeling.
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.