Intelligent Semantic Web Search Engines: A Brief Survey
G.Madhu (1), Dr.A.Govardhan (2), Dr.T.V.Rajinikanth (3)

TL;DR
This survey reviews the evolution of web search engines and highlights how semantic web technologies enhance their ability to retrieve meaningful information intelligently.
Contribution
It provides a comprehensive overview of search engine generations and discusses the role of semantic web technologies in improving search intelligence.
Findings
Semantic web technologies improve search relevance.
Evolution from traditional to semantic search engines.
Enhanced information retrieval capabilities.
Abstract
The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The amount of information grows billions of databases. We need to search the information will specialize tools known generically search engine. There are many of search engines available today, retrieving meaningful information is difficult. However to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper we present survey on the search engine generations and the role of search engines in intelligent web and semantic search technologies.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSemantic Web and Ontologies · Data Management and Algorithms · Cognitive Computing and Networks
