FEATURE EXTRACTION TECHNIQUES USING SEMANTIC BASED CRAWLER FOR SEARCH ENGINE

Authors

  • Poonam P. Doshi, Research Scholar and Associate Prof., JSCOE
  • Dr. Emmanual M HOD IT, PICT Pune

Keywords:

Crawlers,, Semantic web based search engines, Ontology,

Abstract

he vast amount of data on the World WideWeb has resulted in convergence powerful analyticaltechnologies, namely the Semantic Web. The SemanticWeb has allowed for evolution of linked multidimensional data that allows for querying information on the web using their semantics or meaning and not just a list of key words. The paperdiscussed how Semantic Web technologies evolved from the traditional Extract, Transform and Load (ETL) based to the more automatic mapping of multidimensional data. Primary objective of the proposed research is to improve effective and accurate information discovery over the internet, to study the vocabulary of the mining service, to enable the crawler to work for an uncontrolled web and improve the efficiency of the algorithm.

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Published

2021-03-27

Issue

Section

Articles