EST

Call for paper
April Edition 2017

International Journal of Applied Information Systems solicits high quality original research papers for the
March 15, 2017
April 2017 Edition of the journal.
The last date of research paper submission is
March 15, 2017
SUBMIT YOUR PAPER

Number 5

Concept based Web Information Retrieval

journal image
 Download
1022

Export

  • Jyotsna Gharat and Jayant Gadge 2012. Concept based Web Information Retrieval. International Journal of Applied Information Systems. 4, 5 (October 2012), 25-29. DOI=http://dx.doi.org/10.5120/ijais450713 
  • @article{10.5120/ijais2017451568,
author = {Jyotsna Gharat and Jayant Gadge},
title = {Concept based Web Information Retrieval},
journal = {International Journal of Applied Information Systems},
issue_date = {October 2012},
volume = {4},
number = {},
month = {October},
year = {2012},
issn = {},
pages = {25-29},
numpages = {},
url = {/archives/volume4/number5/299-0713},
doi = { 10.5120/ijais12-450713},
publisher = { xA9 2010 by IJAIS Journal},
address = {}
}

  • %1 450713
%A Jyotsna Gharat
%A Jayant Gadge
%T Concept based Web Information Retrieval
%J International Journal of Applied Information Systems
%@ 
%V 4
%N 
%P 25-29
%D 2012
%I  xA9 2010 by IJAIS Journal

Abstract

In this paper, the implementation of DSP algorithms on FPGA devices are taken into consideration and the FFT spectral analysis as a real time application was tested in MATLAB System Generator. It integrates two separate fields Digital Signal Processing (DSP) and Very Large Scale Integration (VLSI). The structure and chronological procedure followed focuses on the sophisticated DSP design and implementation of a Fast Fourier Transform (FFT) spectrum analyzer. The entire system was implemented in MATLAB Simulink Xilinx System generator (SG) toolbox. After simulation, the verilog coding was extracted and implemented on FPGA Virtex II device. As a part of betterment, FIR filter of the analyzer was replaced with Goertzel filter in order to improve the area efficiency of the FPGA device. It provides better frequency resolution and helps in extracting the amplitude component of the signal, thus aiding in improved spectral analysis.

References

  1. Che-Yu Yang; Shih-Jung Wu, "A WordNet based Information Retrieval on the Semantic Web", Networked Computing and Advanced Information Management (NCM), 2011 7th International Conference, Page(s): 324 – 328, 2011. .
  2. Zakos, J. ; Verma, B. , "Concept-based term weighting for web information retrieval", Computational Intelligence and Multimedia Applications, 2005. Sixth International Conference, Page(s): 173 – 178, 2005.
  3. Jiuling Zhang; Beixing Deng; Xing Li, "Concept Based Query Expansion using WordNet", Advanced Science and Technology, 2009. AST '09. International e-Conference, Page(s): 52 - 55, 2009.
  4. Zhen-Yu Lu; Yong-Min Lin; Shuang Zhao; Jing-Nian Chen; Wei-Dong Zhu, "A Redundancy Based Term Weighting Approach for Text Categorization", Software Engineering, 2009. , Page(s): 36 – 40, 2009.
  5. George A. Miller, "WordNet: A Lexical Database for English", Communications of the ACM, Vol. 38, No. 11, pp. 39-41, 1995.
  6. Measuring Similarity between sentences. [Online]. Available at: http://wordnetdotnet. googlecode. com/svn /trunk/Projects/Thanh/Paper/WordNetDotNet_Semantic_Similarity. pdf.
  7. WordNet Documentation. [Online]. Available at: http://wordnet. princeton. . edu/man2. 1/wnstats. 7WN.
  8. What is Stemming? [Online]. Available at: http://www. comp. lancs. ac. uk/computing/research/stemming/general.
  9. Important problems in information retrieval. Dagobert Soergel, College of Library and Information Services, University of Maryland, College Park, MD 20742, August 1989.
  10. G. Salton and C. Buckley, "Term – Weighting Approaches in Automatic Text Retrieval", Information Processing and Management, vol. 24, no. 5, pp. 513 – 523, 1988.

Keywords

Information Retrieval (IR), Part of Speech (POS), WordNet, Ontology, Concept-Based Term Weighting (CBW)

Index Terms

Computer Science
Information Sciences