@INPROCEEDINGS{Balke_05dl,
    AUTHOR      = {W.-T. Balke and W. Nejdl and W. Siberski and U. Thaden},
    TITLE       = {{DL meets P2P - Distributed Document Retrieval based on Classification and Content}},
    BOOKTITLE   = {{European Conference on Digital Libraries (ECDL)}},
    YEAR        = {2005},
    EDITOR      = {},
    PAGES       = {},
    PUBLISHER   = {},
    VOLUME      = {},
    NUMBER      = {},
    SERIES      = {},
    ADDRESS     = {Vienna, Austria},
    MONTH       = {},
    NOTE        = {},
    KEY         = {},
    KEYWORDS    = {},
    ISBN        = {},
    URL         = {http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2005/p2pdl-ecdl2005.pdf},
    ABSTRACT    = {Peer-to-peer architectures are a potentially powerful paradigm for retrieving
documents over networks of digital libraries avoiding single
points of failure by massive federation of (independent)
information sources. Today sharing files over P2P infrastructures
is already immensely successful, but restricted to simple metadata
matching. But when it comes to the retrieval of complex documents,
capabilities as provided by digital libraries are needed. Digital
libraries have to cope with compound documents. Though some
document parts (like embedded images) can efficiently be retrieved
using metadata matching, the text-based information needs
different methods like full text search. However, for effective
querying of texts, also information like inverted document
frequencies are essential. But due to the distributed
characteristics of P2P networks such 'collection-wide' information
poses severe problems, e.g. that central updates whenever changes
in any document collection occur use up valuable bandwidth. We
will present a novel indexing technique that allows to query using
collection-wide information with respect to different
classifications and show the effectiveness of our scheme for
practical applications. We will in detail discuss our findings and
present simulations for the scheme's efficiency and scalability.},
}