Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € DHL 6.99 € GLS 7.99 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Relevant Query Answering over Streaming and Distributed Data

Name: Relevant Query Answering over Streaming and Distributed Data
Brand: Springer Nature Switzerland AG
SKU: 25303318
Price: 53.79 EUR
Availability: InStock
Author: Shima Zahmatkesh
ISBN: 9783030383381

A Study for RDF Streams and Evolving Web Data

Shima Zahmatkesh

Emanuele Della Valle

Lingua

Inglese

Libro In brossura

Codice Libristo: 25303318

Casa editrice Springer Nature Switzerland AG, gennaio 2020

This book examines the problem of relevant query answering over the Web and provides a comprehensive... Descrizione completa

Codice Libristo: 25303318

132 b

53.79 €

Magazzino esterno Inviamo tra 5-8 giorni

30 giorni per il reso

I clienti hanno acquistato anche

Éléments De La Théorie Des Fonctions Elliptiques, Volumes 3-4 Charles Hermite

Rigido

41.59 €

La poussière des corons Marie-Paul Armand

In brossura

27.89 €

Das Rechtspflegerecht Des Einigungsvertrages Peter Rieß

Rigido

144.59 €

Perdeyi Aralamak Hasan Akbulut

In brossura

16.79 €

Dvouleté děti v předškolním vzdělávání II Jana Kropáčková

In brossura

23.49 €

OEsterreichische Retrospektive Bibliographie, Band 1, Bibliographie der oesterreichischen (nichtperiodischen) Neuen Zeitungen 1492-1705 Helmut W Lang

Rigido

338.29 €

Knickung Verwundener St be Unter Druck Erich Hui

In brossura

55.29 €

This book examines the problem of relevant query answering over the Web and provides a comprehensive overview of relevant query answering over streaming and distributed data. In recent years, Web applications that combine highly dynamic data streams with data distributed over the Web to provide relevant answers have attracted increasing attention. Answering in a timely fashion, i.e., reactively, is one of the most important performance indicators, especially when the distributed data is evolving. The book proposes a solution that retains a local replica of the distributed data and offers various maintenance policies to refresh the replica over time. A limited refresh budget guarantees the reactiveness of the system. Focusing on stream processing and Semantic Web, it appeals to scientists and graduate students in the field.