CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Social Network Wrappers (SNWs): An Approach Used for Exploiting and Mining Social Media Platforms

by Mamta Madan, Meenu Chopra
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 17
Year of Publication: 2014
Authors: Mamta Madan, Meenu Chopra
10.5120/17101-7687

Mamta Madan, Meenu Chopra . Social Network Wrappers (SNWs): An Approach Used for Exploiting and Mining Social Media Platforms. International Journal of Computer Applications. 97, 17 ( July 2014), 31-34. DOI=10.5120/17101-7687

@article{ 10.5120/17101-7687,
author = { Mamta Madan, Meenu Chopra },
title = { Social Network Wrappers (SNWs): An Approach Used for Exploiting and Mining Social Media Platforms },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 17 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number17/17101-7687/ },
doi = { 10.5120/17101-7687 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:23.890640+05:30
%A Mamta Madan
%A Meenu Chopra
%T Social Network Wrappers (SNWs): An Approach Used for Exploiting and Mining Social Media Platforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 17
%P 31-34
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper tries to portrait outline study on the detailed approaches which are related to the working of a Social Media Networks Extraction System (SMNES) or the Social media (SM) platform with the perception of Social Network Wrappers (SNWs) and their issues like creation, perpetuation and support etc. In this paper we discuss in detail the obstacle related to the generation or creation of SNWs, initiation and support, and other important approaches. At last, we discuss the problem related to SNWs maintenance; propose our recommendation in adapting Social Network Wrappers fully automatically (SNWs).

References
  1. Sarawagi, S. : Information extraction. Foundations and trends in databases 1(3), 261-377 (2008).
  2. Sebastiani, F. : Machine learning in automated text categorization. ACM computing surveys 34(1), 1{47 (2002).
  3. Kaiser, K. , Miksch, S. : Information extraction. a survey. Tech. rep. , E188 - Institute fur Softwaretechnik und Interaktive System; Technische University at Wien (2005).
  4. Kushmerick, N. : Wrapper induction for information extraction. Ph. D. thesis, University of Washington (1997).
  5. Baumgartner, R. , Flesca, S. , Gottlob, G. : Visual web information extraction with lixto. In: Proc. of the 27th International Conference on Very Large Data Bases, pp. 119-128.
  6. Morgan Kaufmann Publishers Inc. (2001). Gottlob, G. , Koch, C. : Logic-based web information extraction. ACM SIGMOD Record 33(2), 87-94 (2004).
  7. Sahuguet, A. , Azavant, and F. : Building light-weight wrappers for legacy web data-sources using w4f. In: Proc. of the 25th International Conference on Very Large Data Bases, pp. 738-741. Morgan Kaufmann Publishers Inc. (1999).
  8. Gatterbauer, W. , Bohunsky, P. : Table extraction using spatial reasoning on the css2 visual box model. In: AAAI '06 Proc. of the 21st national conference on Artificial intelligence, pp. 1313-1318. AAAI Press (2006)
  9. Krupl, B. , Herzog, M. , Gatterbauer, W. : Using visual cues for extraction of tabular data from arbitrary html documents. In: Special interest tracks and posters of the 14th international conference on World Wide Web, pp. 1000-1001. ACM (2005).
  10. Crescenzi, V. , Mecca, G. : Automatic information extraction from large websites. Journal of the ACM 51(5), 731-779 (2004).
  11. Crescenzi, V. , Mecca, G. , Merialdo, P. : Roadrunner: Towards automatic data extraction from large web sites. In: Proc. of the 27th International Conference on Very Large Databases, pp. 109-118. Morgan Kaufmann Publishers Inc. (2001).
  12. Zhai, Y. , Liu, B. : Web data extraction based on partial tree alignment. In: Proc. of the 14th international conference on World Wide Web, pp. 76{85. ACM (2005).
  13. Zhai, Y. , Liu, B. : Structured data extraction from the web based on partial tree alignment. IEEE Transactions on Knowledge and Data Engineering 18(12), 1614-1628 (2006).
  14. Kushmerick, N. : Wrapper induction: efficiency and expressiveness. Artificial Intelligence 118(1-2), 15-68 (2000).
  15. Hsu, C. N. , Dung, M. T. : Generating finite-state transducers for semi-structured data extraction from the web. Information systems 23(9), 521-538 (1998).
  16. Muslea, I. , Minton, S. , Knoblock, C. : A hierarchical approach to wrapper induction. In: Proc. of the 3rd annual conference on Autonomous Agents, pp. 190-197. ACM (1999).
  17. Phan, X. , Horiguchi, S. , Ho, T. : Automated data extraction from the web with Conditional models. International Journal of Business Intelligence and Data Mining 1(2), 194-209 (2005).
  18. Turmo, J. , Ageno, A. , Catal_a, N. : Adaptive information extraction. ACM Computing Surveys 38(2), 4 (2006).
  19. Kushmerick, N. : Finite-state approaches to web information extraction. Proc. of 3rd Summer Convention on Information Extraction pp. 77-91 (2002).
  20. Meng, X. , Hu, D. , Li, and C. : Schema-guided wrapper maintenance for web-data . In: Proc. of the 5th international workshop on Web information and data management,pp. 1-8. ACM (2003).
Index Terms

Computer Science
Information Sciences

Keywords

Social Media Networks (SMNs) Social Media Network Extraction System (SMNES) Social Network Wrappers (SNW)

Powered by PhDFocusTM