Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Relevance feedback and query expansion for searching the web: a model for searching a digital library

Smeaton, Alan F. and Crimmins, Francis (1997) Relevance feedback and query expansion for searching the web: a model for searching a digital library. In: ECDL'97 - First European Conference on Research and Advanced Technology for Digital Libraries, 1-3 September, 1997, Pisa, Italy. ISBN 978-3-540-63554-3

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
80Kb

Abstract

A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines may be used to index different overlapping portions of the entire contents of the library. In any case, different media, text, audio, image, etc., will be indexed for retrieval by different search engines so techniques which provide a coherent and unified search over a suite of underlying independent search engines are thus likely to be an important part of navigating in a digital library. In this paper we present an architecture and a system for searching the world's largest DL, the world wide web. What makes our system novel is that we use a suite of underlying web search engines to do the bulk of the work while our system orchestrates them in a parallel fashion to provide a higher level of information retrieval functionality. Thus it is our meta search engine and not the underlying direct search engines that provide the relevance feedback and query expansion options for the user. The paper presents the design and architecture of the system which has been implemented, describes an initial version which has been operational for almost a year, and outlines the operation of the advanced version.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Research and Advanced Technology for Digital Libraries. Lecture Notes in Computer Science 1324. Springer Berlin / Heidelberg. ISBN 978-3-540-63554-3
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/BFb0026724
Copyright Information:The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:366
Deposited On:27 Mar 2008 by DORAS Administrator. Last Modified 10 Feb 2009 11:22

Download statistics

Archive Staff Only: edit this record