Detailed Information on Publication Record
2005
Indexing the Distance Using Chord: A Distributed Similarity Search Structure
NOVÁK, David and Pavel ZEZULABasic information
Original name
Indexing the Distance Using Chord: A Distributed Similarity Search Structure
Name in Czech
Indexování vzdálenosti pomocí Chordu: Distribuovaná struktura pro podobnostní vyhledávání
Authors
NOVÁK, David (203 Czech Republic, guarantor) and Pavel ZEZULA (203 Czech Republic)
Edition
Schloss Dagstuhl, Germany, 8th International Workshop of the DELOS Network of Excellence on Digital Libraries, p. 94-108, 15 pp. 2005
Publisher
Neuveden
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14330/05:00013436
Organization unit
Faculty of Informatics
Keywords in English
indexing; similarity; peer-to-peer
Tags
Změněno: 19/2/2007 09:43, RNDr. David Novák, Ph.D.
V originále
The need of search mechanisms based on data content rather then attributes values has recently lead to formation of the metric-based similarity retrieval. The computational complexity of such retrieval and the large volume of processed data call for distributed processing. In this paper, we propose chiDistance, a distributed data structure for similarity search in metric spaces. The structure is based on the idea of a vector-based index method iDistance which enables to transform the issue of similarity search into the one-dimensional range search problem. A~Peer-to-Peer system based on the Chord protocol is created to distribute the storage space and to parallelize the execution of similarity queries. In the experiments conducted on our prototype implementation we study the system performance concentrating on several aspects of parallelism of the range search algorithm.
In Czech
Práce navrhuje novou distribuovanou datovou strukturu, která podporuje podobnostní hledání používající obecný metrický prostor jako datovou abstrakci.
Links
1ET100300419, research and development project |
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