Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

A Set-Covering-Based Approach for Overlapping Resource Selection in Distributed Information Retrieval

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xiuhong Wang ; Inst. of Sci. & Technol. Inf., Jiangsu Univ., Zhenjiang, China ; Shiguang Ju

Resource selection, also called server selection, collection selection or database selection, is a foundational problem in distributed information retrieval (DIR). This paper introduces a set-covering-based algorithm for resource selection in DIR, with consideration of overlapping extent between resources. Give different document with different weight according to its position in merged results for question Q. Only results that have not appeared in some earlier selected resource are focused on in later selected resources. The score of each resource is decided by the total weights of those merged results included in, and only the resource with max score is selected in each selecting step. So, the selecting order is the actual rank of selected resources which are used to search the question Qpsila, which is similar to question Q. The approach saves big searching time due to overlapping between databases and, at the same time, enhances user's recall rate and precision.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:4 )

Date of Conference:

March 31 2009-April 2 2009