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Full-text federated search in peer-t...

Lu, Jie.

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Full-text federated search in peer-to-peer networks.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Full-text federated search in peer-to-peer networks./
Author:	Lu, Jie.
Description:	148 p.
Notes:	Adviser: James P. Callan.
Contained By:	Dissertation Abstracts International68-09B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3285253
ISBN:	9780549270782

Full-text federated search in peer-to-peer networks.
Lu, Jie.

Full-text federated search in peer-to-peer networks. - 148 p.

Adviser: James P. Callan.

Thesis (Ph.D.)--Carnegie Mellon University, 2007.

Peer-to-peer (P2P) networks integrate autonomous computing resources without requiring a central coordinating authority, which makes them a potentially robust and scalable model for providing federated search capability to large-scale networks of text digital libraries. However, P2P networks have so far mostly used simple search techniques based on document names or controlled-vocabulary terms, and provided very limited support for full-text search of document contents.

ISBN: 9780549270782Subjects--Topical Terms:

626642
Computer Science.

Full-text federated search in peer-to-peer networks.
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020 $a 9780549270782
035 $a (UMI)AAI3285253
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040 $a UMI $c UMI
100 1 $a Lu, Jie. $3 1250979
245 1 0 $a Full-text federated search in peer-to-peer networks.
300 $a 148 p.
500 $a Adviser: James P. Callan.
500 $a Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6077.
502 $a Thesis (Ph.D.)--Carnegie Mellon University, 2007.
520 $a Peer-to-peer (P2P) networks integrate autonomous computing resources without requiring a central coordinating authority, which makes them a potentially robust and scalable model for providing federated search capability to large-scale networks of text digital libraries. However, P2P networks have so far mostly used simple search techniques based on document names or controlled-vocabulary terms, and provided very limited support for full-text search of document contents.
520 $a This dissertation provides solutions to full-text federated search with relevance-based document ranking within an integrated framework of P2P network overlay, search, and evolution models. Previous notions of P2P network architectures are extended to define a network overlay model with desired content distribution and navigability. Existing approaches to federated search are adapted, and new methods are developed for resource representation, resource selection, and result merging in a network search model according to the unique characteristics of P2P networks. Furthermore, autonomous and decentralized algorithms to evolve the network topology into one with desired search-enhancing properties are proposed in a network evolution model to facilitate effective and efficient full-text federated search in dynamic environments.
520 $a To demonstrate that the proposed solutions are both effective and practical, two P2P testbeds consisting of thousands of real-content text digital libraries and hundreds of thousands of automatically generated queries are developed. Evaluation using these testbeds provides strong empirical evidence that the approaches proposed in this dissertation provide a better combination of accuracy, efficiency and robustness than more common alternatives.
590 $a School code: 0041.
650 4 $a Computer Science. $3 626642
690 $a 0984
710 2 $a Carnegie Mellon University. $3 1018096
773 0 $t Dissertation Abstracts International $g 68-09B.
790 $a 0041
790 1 0 $a Callan, James P., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3285253