Semantic Web Search Engines : A Comparative Survey

Authors

  • Anita Kumari  Department of Computer Science, Himachal Pradesh University, Shimla, Himachal Pradesh, India
  • Dr. Jawahar Thakur  Department of Computer Science, Himachal Pradesh University, Shimla, Himachal Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT195115

Keywords:

Semantic Web, Semantic Search Engines, Intelligent Search

Abstract

Search engines play important role in the success of the Web. Search engine helps the users to find the relevant information on the internet. Due to many problems in traditional search engines has led to the development of semantic web. Semantic web technologies are playing a crucial role in enhancing traditional search, as it work to create machines readable data and focus on metadata. However, it will not replace traditional search engines. In the environment of semantic web, search engine should be more useful and efficient for searching the relevant web information. It is a way to increase the accuracy of information retrieval system. This is possible because semantic web uses software agents; these agents collect the information, perform relevant transactions and interact with physical devices. This paper includes the survey on the prevalent Semantic Search Engines based on their advantages, working and disadvantages and presents a comparative study based on techniques, type of results, crawling, and indexing.

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Published

2019-01-30

Issue

Section

Research Articles

How to Cite

[1]
Anita Kumari, Dr. Jawahar Thakur, " Semantic Web Search Engines : A Comparative Survey, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.107-115, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT195115