Challenges on distributed Web retrieval (Contributo in atti di convegno)

Type
Label
  • Challenges on distributed Web retrieval (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Baeza-Yates R.; Castillo C.; Junqueira F.; Plachouras V.; Silvestri F. (2007)
    Challenges on distributed Web retrieval
    in IEEE 23rd International Conference on Data Engineering. ICDE 2007, Istanbul, Turkey, 15-20 April 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Baeza-Yates R.; Castillo C.; Junqueira F.; Plachouras V.; Silvestri F. (literal)
Pagina inizio
  • 6 (literal)
Pagina fine
  • 20 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: IEEE 23rd International Conference on Data Engineering. ICDE 2007 (Istanbul, Turkey, 15-20 April 2007). Proceedings, pp. 6 - 20. IEEE, 2007. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: In the ocean ofWeb data, Web search engines are the primary way to access content. As the data is on the order of petabytes, current search engines are very large centralized systems based on replicated clusters. Web data, however, is always evolving. The number of Web sites continues to grow rapidly and there are currently more than 20 billion indexed pages. In the near future, centralized systems are likely to become ineffective against such a load, thus suggesting the need of fully distributed search engines. Such engines need to achieve the following goals: high quality answers, fast response time, high query throughput, and scalability. In this paper we survey and organize recent research results, outlining the main challenges of designing a distributed Web retrieval system. (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Yahoo! Research Barcelona (literal)
Titolo
  • Challenges on distributed Web retrieval (literal)
Abstract
  • In the ocean ofWeb data, Web search engines are the primary way to access content. As the data is on the order of petabytes, current search engines are very large centralized systems based on replicated clusters. Web data, however, is always evolving. The number of Web sites continues to grow rapidly and there are currently more than 20 billion indexed pages. In the near future, centralized systems are likely to become ineffective against such a load, thus suggesting the need of fully distributed search engines. Such engines need to achieve the following goals: high quality answers, fast response time, high query throughput, and scalability. In this paper we survey and organize recent research results, outlining the main challenges of designing a distributed Web retrieval system. (literal)
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