CFP last date
20 January 2025
Reseach Article

Web Supported Query Taxonomy Classifier

by Asiya Abdus Salam Qureshi, Syed Mohammad Khalid Jamal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 8
Year of Publication: 2012
Authors: Asiya Abdus Salam Qureshi, Syed Mohammad Khalid Jamal
10.5120/8226-1665

Asiya Abdus Salam Qureshi, Syed Mohammad Khalid Jamal . Web Supported Query Taxonomy Classifier. International Journal of Computer Applications. 52, 8 ( August 2012), 47-55. DOI=10.5120/8226-1665

@article{ 10.5120/8226-1665,
author = { Asiya Abdus Salam Qureshi, Syed Mohammad Khalid Jamal },
title = { Web Supported Query Taxonomy Classifier },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 8 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 47-55 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number8/8226-1665/ },
doi = { 10.5120/8226-1665 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:51:47.467784+05:30
%A Asiya Abdus Salam Qureshi
%A Syed Mohammad Khalid Jamal
%T Web Supported Query Taxonomy Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 8
%P 47-55
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A new approach called Web Supported Query Taxonomy Classifier is introduced in this paper, which generates better searching results. We combine WSQ, Web Supported Queries approach with Query Classification in which bridging classifier and category selection method is used for classification of queries. In this paper, Query categorization will build bridging classifier in an offline mode at mediator taxonomy integrated with the category selection method for the effectiveness and efficiency of online classification and then classifier is used for mapping input queries to target taxonomy in online mode. After this the queries are settled in virtual tables presented by WSQ tuples for the generation of web search result calling one or more search engines for improved results. Further a technique called asynchronous iteration is used for concurrency among multiple web search requests and query processing.

References
  1. Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. 2001. A model of multimedia information retrieval. In Journal of the ACM (JACM), Volume 48 Issue 5, September 2001, Pages 909 – 970, New York, NY, USA, ACM.
  2. Christian Platzer, Clemens Kolbitsch and Manuel Egele. 2011. Removing web spam links from search engine results. In Journal in Computer Virology, Volume 7 Issue 1, February 2011, Pages 51-62, Springer-Verlag New York, Inc. Secaucus, NJ, USA.
  3. Alessandro Marchetto, Filippo Ricca and Paolo Tonella. 2009. An empirical validation of a web fault taxonomy and its usage for web testing. In Journal of Web Engineering, Volume 8 Issue 4, December 2009, Pages 316-345, Rinton Press, Incorporated.
  4. Fabrizio Silvestri. 2010. Mining Query Logs: Turning Search Usage Data into Knowledge. In Journal of Foundations and Trends in Information Retrieval, Volume 4 Issue 1—2, January 2010 , Pages 1-174, Hanover, MA, USA.
  5. Jihie Kim, Peter Will, S. Ri Ling and Bob Neches. 2003. Knowledge-rich catalog services for engineering design. In Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Volume 17 Issue 4, September 2003, Pages 349 – 366, Cambridge University Press New York, NY, USA.
  6. Ying Li, Zijian Zhen and Honghua Dai. 2005. KDD CUP-2005 Report: Facing a Great Challenge. In SIGKDD Explorations Volume 7.
  7. Utkasrsh Srivastava, Kamesh Munagala, Jennifer Widom and Rajeev Motwani. 2006. Query Optimization over Web Services. In VLDB'06 September 12-15, 2006, Seol, Korea, ACM.
  8. Pu-Jeng Cheng, Ching-Hsiang Tsai and Chen-Ming Hung. 2006. Query Taxonomy Generation for Web Search. In CIKM'06, November 5-11, 2006 Arlington, Virginia, USA, ACM.
  9. Joseph M. Hellerstein, Jeffrey F. Naughton. 1996 Query Execution Techniques for Caching Expensive Methods. In SIGMOD'96 6/96 Montreal, Canada, ACM.
  10. Evgeniy Gabrilovich, Andrei broder, Marcus Fontoura, Amruta Joshi and Vanja Jasifovski. 2007. Classifying Search Queries Using the Web as a Source of Knowledge. In ACM international Conference on Research and Development in Information Retrieval (SIGIR) Amsterdam, Netherlands.
  11. S. Chaudhuri,U. Dayal and T. Yan. 1995. Join queries with external text sources: Execution and optimization techbiques. In Proc. of the ACM SIGMOD Intl Conference on Management of Data,San Jose, California.
  12. Nikos Kirtsis and Sofia Stamou. 2011. Query Reformulation for Task Oriented web searches. In Proc. of IEEE/WIC/ACM Intl conference on Web Intelligence and Intelligent Agent Technology.
  13. Bettina Fazzinga, Giorgio Gianforme, Georg Gottlob and Thomas Lukasiewicz. 2011. Sementic Web search based on ontological conjunctive queries
  14. Shuai Ding, Josh Attenberg, Ricardo Baeza and Torsten Suel. 2011. Batch Query Processing for web search engines. In proc. of the fourth ACM intl conference on web search and data mining
  15. Yuchen Liu, Xiaochuan Ni, Jian Tao sun and Zheng Chen. 2011. Unsupervised transactional query classification based on webpage form understanding. In proc. of 20th ACM intl conference on Information and knowledge management.
  16. Xianghua Fu, Dongjian Chen, Xueping Guo and Chao Wang. 2011. Query classification based on index association rule expansion. In proc of intl conference on web information systems and mining volume part 2.
  17. Edwards, J. , McCurley, K. S. , and Tomlin, J. A. 2001. An adaptive model for optimizing performance of an incremental web crawler. In Proceedings of the Tenth Conference on World Wide Web (Hong Kong: Elsevier Science
  18. S. Dessloch and N. Mattos. 1997. Integrating SQL databases with content specific search engines. In proc. of 23rd intl conference on very large database, Greece.
  19. D. Florescu, A. Levy, I. Manolescu and D. Suciu. 1999. Query optimization in the presence of limited access patterns. In proc. of ACM SIGMOD Intl conference on Management of Data, Pennsylvania.
  20. L. Gravano, V. Hatzivassiloglou and R. Lichtenstein. 2003. Categorizing web queries according to geographical locality. In CIKM 03: Proc of 12th intl conference on Information and knowledge management.
  21. S. M. Beitzel, E. C. Jensen,O. Frieder, D. Grossman, D. D. Lewis, A. Chowdhury and A. Kolcz. 2005. Automatic web query classification using labeled and unlabeled training data. In SIGIR 05: Proc of 28th annual international ACM SIGIR conference on Research and development in information retrieval.
Index Terms

Computer Science
Information Sciences

Keywords

Web Query Classification Asynchronous Iteration Bridging Classifier Category Selection Method WSQ Web Supported Query Taxonomy Classifier