Relevant Query Answering over Streaming and Distributed Data : A Study for RDF Streams and Evolving Web Data / / by Shima Zahmatkesh, Emanuele Della Valle

• Autore: Zahmatkesh Shima
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (IX, 123 p. 33 illus., 1 illus. in color.)
• Disciplina: 006
• Soggetto topico: Database management; Engineering—Data processing; Big data; Database Management; Data Engineering; Big Data
• Persona (resp. second.): Della ValleEmanuele
• Sommario/riassunto: 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.
• Titolo autorizzato: Relevant Query Answering over Streaming and Distributed Data
• ISBN: 3-030-38339-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910373929103321
• Lo trovi qui: Univ. Federico II
• Serie: PoliMI SpringerBriefs, . 2282-2577