XML Retrieval by HyREX and Some Improvements by Relevance Feedback.

Date of Submission

December 2007

Date of Award

Winter 12-12-2008

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Computer Vision and Pattern Recognition Unit (CVPR-Kolkata)


Mitra, Mandar (CVPR-Kolkata; ISI)

Abstract (Summary of the Work)

The eXtensible Markup Language (XML) is the emerging standard for representing knowledge for many applications. XML retrieval is thus becoming increasingly important. A number of research groups from all over the world are actively working in this area.HyREX is an XML retrieval engine designed by Norbert Govert, University of Dortmund, Germany. In this thesis we have made a detail study of the HyREX system and finally improved the search performance by implementing relevance feedback. Here the assessments were done manually using the queries and assessment files provided by INEX 2002.


ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843398

Control Number


Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.



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