MinervaDL: An Architecture for Information Retrieval and Filtering in Distributed Digital Libraries
Identifieur interne : 000848 ( Main/Exploration ); précédent : 000847; suivant : 000849MinervaDL: An Architecture for Information Retrieval and Filtering in Distributed Digital Libraries
Auteurs : Christian Zimmer [Allemagne] ; Christos Tryfonopoulos [Allemagne] ; Gerhard Weikum [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
English descriptors
- Teeft :
- Access point, Access points, Algorithm, Consumer node, Consumer nodes, Contact information, Continuous queries, Continuous query, Digital libraries, Digital library, Document collection, Functionality, Hash table, Information retrieval, Information sources, Infrastructure, Libraring, Ltering, Ltering functionality, Message costs, Minervadl, Minervadl architecture, Minervadl network, Node, Overlay networks, Protocol, Provider, Provider nodes, Publishing behavior, Query, Relevant documents, Resource selection, Resource selection algorithms, Retrieval, Retrieval effectiveness, Scalability, Scenario, Total number, Tryfonopoulos, Weikum, Zimmer.
Abstract
Abstract: We present MinervaDL, a digital library architecture that supports approximate information retrieval and filtering functionality under a single unifying framework. The architecture of MinervaDL is based on the peer-to-peer search engine Minerva, and is able to handle huge amounts of data provided by digital libraries in a distributed and self-organizing way. The two-tier architecture and the use of the distributed hash table as the routing substrate provides an infrastructure for creating large networks of digital libraries with minimal administration costs. We discuss the main components of this architecture, present the protocols that regulate node interactions, and experimentally evaluate our approach.
Url:
DOI: 10.1007/978-3-540-74851-9_13
Affiliations:
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Le document en format XML
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behavior</term><term>Query</term><term>Relevant documents</term><term>Resource selection</term><term>Resource selection algorithms</term><term>Retrieval</term><term>Retrieval effectiveness</term><term>Scalability</term><term>Scenario</term><term>Total number</term><term>Tryfonopoulos</term><term>Weikum</term><term>Zimmer</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: We present MinervaDL, a digital library architecture that supports approximate information retrieval and filtering functionality under a single unifying framework. 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