Collection Profiling for Collection Fusion in Distributed Information Retrieval Systems

Lu, Chengye, Xu, Yue, & Geva, Shlomo (2007) Collection Profiling for Collection Fusion in Distributed Information Retrieval Systems. In Zhang, Zili & Siekmann, Jorg H. (Eds.) Second International Conference, KSEM 2007: Knowledge Science, Engineering and Management, November 28-30, 2007, Melbourne, Australia.

View at publisher


Discovering resource descriptions and merging results obtained from remote search engines are two key issues in distributed information retrieval studies. In uncooperative environments, query-based sampling and normalizing scores based merging strategies are well-known approaches to solve such problems. However, such approaches only consider the content of the remote database and do not consider the retrieval performance. In this paper, we address the problem that in peer to peer information systems and argue that the performance of search engine should also be considered. We also proposed a collection profiling strategy which can discover not only collection content but also retrieval performance. Web-based query classification and two collection fusion approaches based on the collection profiling are also introduced in this paper. Our experiments show that our merging strategies are effective in merging results on uncooperative environment.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

370 since deposited on 17 Oct 2008
252 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 15237
Item Type: Conference Paper
Refereed: Yes
Keywords: distributed information retrieval, peer to peer, collection fusion, collection profiling
DOI: 10.1007/978-3-540-76719-0_29
ISBN: 9783540767183
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. Lecture Notes in Computer Science
Deposited On: 17 Oct 2008 00:00
Last Modified: 29 Feb 2012 13:35

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page