Impact of the Semantic Web mining by using different techniques-A Survey

Journal Title: International Journal of Science and Innovative Research - Year 2020, Vol 1, Issue 02

Abstract

The semantic web is an initiative that aims at improving the current state of the World Wide Web. The key idea is to use the machine process enabled web information. This paper explains the way of getting required information from large amount of data, which process useful and helpful information to minimize the problem of the overload of the information. The paper discusses the layer approach of semantic web mining and several domains of semantic web vision. In this paper a technique is suggested for the better way of searching the information, investigating and classifying of the data.

Authors and Affiliations

Sana Murtaza, Sajjad Ahmed

Keywords

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  • EP ID EP690949
  • DOI -
  • Views 230
  • Downloads 1

How To Cite

Sana Murtaza, Sajjad Ahmed (2020). Impact of the Semantic Web mining by using different techniques-A Survey. International Journal of Science and Innovative Research, 1(02), -. https://europub.co.uk/articles/-A-690949