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  Approximate Information Filtering in Structured Peer-to-Peer Networks

Zimmer, C. (2008). Approximate Information Filtering in Structured Peer-to-Peer Networks. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-25924.

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OA-Status:
Green
Locator:
http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de (Copyright transfer agreement)
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 Creators:
Zimmer, Christian1, 2, Author           
Weikum, Gerhard1, Advisor           
Koubarakis, Manolis3, Referee
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551              
3External Organizations, ou_persistent22              

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 Abstract: Today's content providers are naturally distributed and produce large amounts
of information every day, making peer-to-peer data management a promising
approach offering scalability, adaptivity to dynamics, and failure resilience.
In such systems, subscribing with a continuous query is of equal importance as
one-time querying since it allows the user to cope with the high rate of
information production and avoid the cognitive overload of repeated searches.
In the information filtering setting users specify continuous queries, thus
subscribing to newly appearing documents satisfying the query conditions.

Contrary to existing approaches providing exact information filtering
functionality, this doctoral thesis introduces the concept of approximate
information filtering, where users subscribe to only a few selected sources
most likely to satisfy their information demand. This way, efficiency and
scalability are enhanced by trading a small reduction in recall for lower
message traffic.

This thesis contains the following contributions: (i) the first architecture to
support approximate information filtering in structured peer-to-peer networks,
(ii) novel strategies to select the most appropriate publishers by taking into
account correlations among keywords, (iii) a prototype implementation for
approximate information retrieval and filtering, and (iv) a digital library use
case to demonstrate the integration of retrieval and filtering in a unified
system.

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Language(s): eng - English
 Dates: 2009-03-032008-10-3020082008
 Publication Status: Issued
 Pages: -
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 428328
Other: Local-ID: C125756E0038A185-1E72133AC0697BF0C12574F80044BBD2-Zimmer08
DOI: 10.22028/D291-25924
URN: urn:nbn:de:bsz:291-scidok-20470
Other: hdl:20.500.11880/25980
 Degree: PhD

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