Information Retrieval and Filtering over Self-organising Digital Libraries

被引：0

作者：

Raftopoulou, Paraskevi ^{[1
,2
]}

Petrakis, Euripides G. M. ^{[1
]}

Tryfonopoulos, Christos ^{[2
]}

Weikum, Gerhard ^{[2
]}

机构：

[1] Tech Univ Crete, Khania 73100, Crete, Greece

[2] Max Planck Inst Informat, D-66123 Saarbrucken, Germany

来源：

RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES | 2008年 / 5173卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present iCLUSTERDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iCLUSTERDL is able to handle huge amounts of data provided by digital libraries in a distributed and self-organising way. The two-tier architecture and the use of semantic overlay networks provide an infrastructure for creating large networks of digital libraries that require minimum administration, yet offer a rich set of tools to the end-user. We present the main components of our architecture, the protocols that regulate peer interactions, and an experimental evaluation that shows the efficiency, and the retrieval and filtering effectiveness of our approach.

引用

页码：320 / +

页数：3

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