CFP last date
20 May 2024
Reseach Article

Article:Indexing for Efficient Term-Based Search Using Mapping Functions

by V. Venkata Ramana, Srinivasa Rao.P, K.K.Basheer
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 8
Year of Publication: 2010
Authors: V. Venkata Ramana, Srinivasa Rao.P, K.K.Basheer
10.5120/851-1189

V. Venkata Ramana, Srinivasa Rao.P, K.K.Basheer . Article:Indexing for Efficient Term-Based Search Using Mapping Functions. International Journal of Computer Applications. 4, 8 ( August 2010), 5-8. DOI=10.5120/851-1189

@article{ 10.5120/851-1189,
author = { V. Venkata Ramana, Srinivasa Rao.P, K.K.Basheer },
title = { Article:Indexing for Efficient Term-Based Search Using Mapping Functions },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 4 },
number = { 8 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number8/851-1189/ },
doi = { 10.5120/851-1189 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:30.174071+05:30
%A V. Venkata Ramana
%A Srinivasa Rao.P
%A K.K.Basheer
%T Article:Indexing for Efficient Term-Based Search Using Mapping Functions
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 8
%P 5-8
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The transformation from the received item to the searchable data structure is called Indexing. Indexing (originally called Cataloging) [11] is the oldest technique for identifying the contents of items to assist in their retrieval. The basic difference between the existing methods and the one discussed here is that these methods rely on a structure of web page linkages that lead from or to the indexed page. In contrast, our method uses the content of the pages linked to or from the indexed page for indexing. So, our method uses a structure of words used by the linked pages, whereas the current methods use the structure of the connections between linked pages.

References
  1. BENTLEY, J.L. and FRIEDMAN, J.H., Fast Algorithm for Constructing Minimal Spanning Trees in Coordinate Spaces, Stanford Report, STAN-CS-75-529 (1975).
  2. B. Babcock, M. Datar, and R. Motwani. Load shedding for aggregation queries over data streams. In Proc. of IEEE ICDE, 2004.
  3. BOOKSTEIN, A. and KRAFT, D., 'Operations research applied to document indexing and retrieval decisions', Journal of the ACM, 24, 410-427 (1977).
  4. GERALD J.KOWALSKI and MARK T.MAYBURY, ‘Information storage and retrieval systems’, vol 2, pp. 51-52 (2002)
  5. GOFFMAN, W., 'A searching procedure for information retrieval', Information Storage and Retrieval, 2, 294-304 (1977).
  6. HARPER, D. and van RIJSBERGEN, C.J., 'An evaluation of feedback in document retrieval using co-occurrence data', Journal of Documentation, 34, 189-216 (1978).
  7. Helen J. Peat and Peter Willett ' The Limitations of Term Co-Occurrence Data for Query Expansion in Document Retrieval Systems', JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE. 42(5):378-383, 1991
  8. KU, H.H. and KULLBACK, S., 'Approximating discrete probability distributions', IEEE Transactions on Information Theory, IT-15, 444-447 (1969).
  9. Qi Su and Jennifer Widom, ‘Indexing Relational Database Content Offline for Efficient Keyword-Based Search’, Proceedings of the 9th International Database Engineering & Application Symposium (IDEAS’05).
  10. VAGELIS.H, LUIS.G, YANNIS.P, Efficient IR-Style Keyword Search over Relational Databases, Proceedings of the 29th VLDB Conference, Berlin, Germany, 2003
  11. WHITNEY, V.K.M., 'Minimal spanning tree, Algorithm 422', Communications of the ACM, 15, 273-274 (1972).
  12. YU, C.T. and SALTON, G., 'Effective information retrieval using term accuracy', Communications of the ACM, 20, 135-142 (1977).
  13. Transaction Processing Council. http://www.tpc.org
  14. Q. Su and J.Widom. Indexing elational database content offline for efficient keyword-based search. Stanford University Technical Report, 2003.
  15. G. Wiederhold. Movie database. http://www-db.stanford.edu/pub/movies/doc.html.
Index Terms

Computer Science
Information Sciences

Keywords

Indexing Catalog Mapping Crawl Real time-scalable Data Centre Audit Logs Conventional Hosting Bandwidth Administrative Previallages