We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Semantic Web Mining - A Review

by Bhawandeep Kaur, Simarjeet Kaur
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 12
Year of Publication: 2015
Authors: Bhawandeep Kaur, Simarjeet Kaur
10.5120/20606-3227

Bhawandeep Kaur, Simarjeet Kaur . Semantic Web Mining - A Review. International Journal of Computer Applications. 117, 12 ( May 2015), 16-19. DOI=10.5120/20606-3227

@article{ 10.5120/20606-3227,
author = { Bhawandeep Kaur, Simarjeet Kaur },
title = { Semantic Web Mining - A Review },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 12 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number12/20606-3227/ },
doi = { 10.5120/20606-3227 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:12.656784+05:30
%A Bhawandeep Kaur
%A Simarjeet Kaur
%T Semantic Web Mining - A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 12
%P 16-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An effective fetching of the most relevant documents from the web is difficult due to the vast amount of information in all types of formats. The vast amount of data is very difficult to understand by machines, but humans can easily understand. The semantic web is a web of data that make capable machines to understands the data on web pages and also known as Web 3. 0. Semantic Web is a way to increase the accuracy of information retrieval systems. Web mining is the application of data mining to extract knowledge from web data using data mining techniques, including web documents, hyperlinks between documents, usage logs of web sites etc. The semantic web mining is aimed at combining both the semantic web and web mining. The main aim is turning unstructured data into machine understandable data using semantic web tools so machine can respond to human queries in less time and avoid tedious work and automatically extract knowledge hidden in the vast amounts of web data using web mining tools. This paper focuses on the various Semantic-web approaches and challenges.

References
  1. K. Sridevi and R. Umarani , An Ontology ranking algorithms on semantic web, International Journal of Advanced Research in Computer and Communication Engineering ,Vol. 2, Issue 9, September 2013.
  2. I. Rasekhet , Dynamic Search Optimization for Semantic Webs Using Imperialistic Competitive Algorithm. , IEEE workshop, 2012 .
  3. G. Stumme, A. Hotho and B. Berendt, Semantic Web Mining State of the art and future directions, Web Semantics: Science, Services and Agents on the World Wide Web, February 2006.
  4. Sandhya and M. chaturvedi, A survey on web mining algorithms, International Journal of Engineering and Science, Vol. 2, Issue 3, 2013.
  5. S. Kaur and U. Kaur, An Optimizing Technique for Weighted Page Rank with K-Means Clustering ,International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 7, July 2013 .
  6. T. Fischer and J. Ruhland ,Towards Knowledge Discovery in the Semantic Web, MKWI – Business Intelligence, 2010.
  7. H. Hassanzadeh and M. R. Keyvanpour , Semantic Web Requirements through Web Mining Techniques, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 7, August 2012 .
  8. M. Thakur and G. S. Pandey, Performance Based Novel Techniques for Semantic Web Mining, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 9, Issue 1, January 2012.
  9. M. P. S. Dohare and S. S. Lodhi and V. Mahor, Application based semantic web mining technique, Journal of Global Research in Computer Science, Vol. 2,No. 3, March 2011.
  10. S. F. Shazmeen and E. Ramyasree, Semantic Web Mining: Benefits, Challenges and Opportunities , International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 7, July 2013.
  11. R. Rani and V. Jain , An Weighted Page Rank using the Rank Improvement, International Journal of Advanced Research in Computer and Communication Engineering, July 2013.
  12. A. Shafeeq and Hareesha , Dynamic Clustering of Data with Modified K-means Algorithm, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 27, 2012.
  13. Sivakumar and Ravichandran , A Review on Semantic-Based Web Mining and its Applications, International Journal of Engineering and Technology, Vol. 5, Feb-Mar 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Semantic Web Mining Web 3. 0.

Powered by PhDFocusTM