A content-addressable network for similarity search in metric spaces (Articolo in rivista)

Type
Label
  • A content-addressable network for similarity search in metric spaces (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-540-71661-7_9 (literal)
Alternative label
  • Falchi F.; Gennaro C.; Zezula P. (2007)
    A content-addressable network for similarity search in metric spaces
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Falchi F.; Gennaro C.; Zezula P. (literal)
Pagina inizio
  • 98 (literal)
Pagina fine
  • 110 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dx.doi.org/10.1007/978-3-540-71661-7_9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 4125 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Databases, Information Systems, and Peer-to-Peer Computing. pp. 98 - 110. Gianluca Moro, Sonia Bergamaschi, Sam Joseph, Jean-Henry Morin and Aris M. Ouksel (eds.). (Lecture Notes in Computer Science, vol. 4125). Springer, 2007. (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Masaryk University, Brno, Czech Republic (literal)
Titolo
  • A content-addressable network for similarity search in metric spaces (literal)
Abstract
  • In this paper we present a scalable and distributed access structure for similarity search in metric spaces. The approach is based on the Content-addressable Network (CAN) paradigm, which provides a Distributed Hash Table (DHT) abstraction over a Cartesian space. We have extended the CAN structure to support storage and retrieval of generic metric space objects. We use pivots for projecting objects of the metric space in an N-dimensional vector space, and exploit the CAN organization for distributing the objects among the computing nodes of the structure. We obtain a Peer-to-Peer network, called the MCAN, which is able to search metric space objects by means of the similarity range queries. Experiments conducted on our prototype system confirm full scalability of the approach. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
Insieme di parole chiave di
data.CNR.it