Details
| Original language | English |
|---|---|
| Title of host publication | ECDL 2005 |
| Subtitle of host publication | Research and Advanced Technology for Digital Libraries |
| Pages | 379-390 |
| Number of pages | 12 |
| ISBN (electronic) | 978-3-540-31931-3 |
| Publication status | Published - 2005 |
| Event | 9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005 - Vienna, Austria Duration: 18 Sept 2005 → 23 Sept 2005 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3652 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
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.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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ECDL 2005: Research and Advanced Technology for Digital Libraries . 2005. p. 379-390 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3652 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - DL meets P2P
T2 - 9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005
AU - Balke, Wolf Tilo
AU - Nejdl, Wolfgang
AU - Siberski, Wolf
AU - Thaden, Uwe
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33645994781&partnerID=8YFLogxK
U2 - 10.1007/11551362_34
DO - 10.1007/11551362_34
M3 - Conference contribution
AN - SCOPUS:33645994781
SN - 978-3-540-28767-4
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 379
EP - 390
BT - ECDL 2005
Y2 - 18 September 2005 through 23 September 2005
ER -