CFP last date
20 January 2025
Reseach Article

Semantic Web Mining in E-Commerce Websites

by Zulqurnan Aslam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 2
Year of Publication: 2016
Authors: Zulqurnan Aslam
10.5120/ijca2016908748

Zulqurnan Aslam . Semantic Web Mining in E-Commerce Websites. International Journal of Computer Applications. 137, 2 ( March 2016), 1-4. DOI=10.5120/ijca2016908748

@article{ 10.5120/ijca2016908748,
author = { Zulqurnan Aslam },
title = { Semantic Web Mining in E-Commerce Websites },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 2 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number2/24244-2016908748/ },
doi = { 10.5120/ijca2016908748 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:13.852232+05:30
%A Zulqurnan Aslam
%T Semantic Web Mining in E-Commerce Websites
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 2
%P 1-4
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Semantic web is gaining interest of lot of people due to its great power. Semantic web makes the data understandable for machines. It enables machines to interpret the data published by the web in machine interpretable form. Though lots of businesses are moving towards Ecommerce websites, but there are few problems with the current ecommerce systems due to the lack of proper standards. Daily thousands of people search for the product they want to buy and due to the inefficiency of the systems it wastes lot of time and resource of the users. Semantic web has that power to overcome those problems and it can accelerate the business to further higher level where ecommerce websites are playing very important role. This paper gives the introduction of semantic web mining and its techniques and then problems of the current ecommerce systems and how those problems can be avoided using semantic web. It discusses the detailed semantic web ecommerce architecture.

References
  1. Zulqurnan Aslam Rohail Shezad SURVEY ON WEB MINING AND ITS USAGE IN E COMMERCE SITES - PATTERN DISCOVERY, ISSUES AND APPLICATIONS. International Journal of Engineering Applied Sciences and Technology, 2016 Vol. 1, Issue 2
  2. Babu, K. Ganapathi, et al. ”Web Mining using Semantic Data Mining Techniques.” International Journal of Soft Computing and Engineering (IJSCE) ISSN (2012): 2231-2307.
  3. O. Mustapaa, A. Karahoca, D. Karahoca and H. Uzun- boylu, Hello World, Web Mining for E-Learning, Pro- cedia Computer Science, Vol. 3, No. 2, 2011, pp. 1381- 1387.
  4. Jafari, Maryam, Farzad SoleymaniSabzchi, and Shahram Jamali. ”Extracting UsersNavigational Behavior from Web Log Data: a Survey.” Journal of Computer Sciences and Applications 1.3 (2013): 39-45.
  5. Heidari, Karim, and A. Dehghan. ”The impact of semantic web on e-commerce.”World Academy of Science, Engineering and Technology 51 (2009).
  6. VijayaLakshmi, B., et al. ”Perspectives of Semantic Web in e-commerce.” International Journal of Computer Applications 25 (2011).
  7. Extensible Markup Language (XML) https://www.w3.org/XML/
  8. Rasheed M. Al-Zahrani, The Ontology problem in ecommerce ap p lications, Information Sy stemsDept., KSU.
  9. SPARQL Query language for RDF http://www.w3.org/TR/rdfsparql- query/
  10. Jena RDF API http://jena.sourceforge.net/ tutorial/RDF_API/index.html
  11. Tanya Gupta, Abir Qasem,Reduction of price dispersion through Semantic E-commerce: A Position Paper. SemanticWeb Workshop 2002 Hawaii, USA.
  12. Oscar Martinez, Federico Botella, Building E-CommerceWeb Applications: Agent- and Ontology-based Interface Adaptivity, Operations Research Center, University Miguel Hernndez of Elche, Avda.Universidad, s/n, 03202 Elche, Spain.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Web Mining Semantic Web Semantic Web Mining E-Commerce