A Survey on Semantic Search in E-Commerce Website Ranking

Authors

  • Kaviya. M   Department of Computer Science and Engineering, Kumarguru College of Technology, Coimbatore, TamilNadu, India.
  • Siddique Ibrahim S. P  Department of Computer Science and Engineering, Kumarguru College of Technology, Coimbatore, TamilNadu, India.
  • Kirubakaran  Department of Computer Science and Engineering, Kumarguru College of Technology, Coimbatore, TamilNadu, India.

Keywords:

Semantic, Ontology, Crawler

Abstract

In this speedy life everybody need an immediate answers for their searches in websites .In this scenario semantic search engines will be helpful. It deals with the actual meaning of the queries. Searched by keyword and do not understand its meaning are some reasons why the traditional search engine is not suitable anymore. Semantic web search technologies (like Google Knowledge Graph)is emerging into the answer engine market to transform the unstructured data into structured data. The proposed search engine is user-friendly and gives right-to-the-point result .The E-commerce industry has grown rapidly and everyone started using it, like online shopping (flip kart). Even though it is the emerging trend, it has some defects like comparison of price between different E-commerce websites, compare weakness and strength between the competitors. In this research, Semantic and neural based page ranking algorithm is used to overcome this defects.

References

  1.  “Size of World Wide Web,” http://www.worldwidewebsize.com (accessed on 1/15/16)
  2. “semanticsearch”,https://en.wikipedia.org/wiki/Semantic search
  3. “Google Semantic-Search (Knowledge Graph),” https://en.wikipedia.org/wiki/Knowledge_Graph (accessed on 1/15/16).
  4. Junaidah Mohamed Kassim and Mahathir Rahmany.,”Introduction to Semantic Search Engine”in international conference, august 2009.
  5. Venkatesh Mabbu ,Abu Asaduzzaman ,and Muhammad F. Mridha .,“A Novel Semantic Knowledge Engine Using Automated Knowledge Extraction from  World Wide Web” in international conference 2016.
  6. Neha verma, Dheeraj malhotra, monika malhotra and jatinder singh., ”E-commerce website ranking using semantic web mining and neural computing” in ICACTA-2015.
  7. Anusree.ramachandran , R.Sujatha., “Semantic search engine”: A survey, School of Information Technology and Engineering,VIT University.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Kaviya. M , Siddique Ibrahim S. P, Kirubakaran, " A Survey on Semantic Search in E-Commerce Website Ranking, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.869-872, March-April-2017.