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Data Management in Pervasive Systems

  • Book
  • © 2015

Overview

  • Outlines the foundations and basic technologies and presents more advanced aspects of pervasive data management
  • Provides an overall picture of the technological challenges and opportunities related to the management of information in pervasive systems, illustrated with the support of a large cultural heritage case study
  • Appeals to researchers and professionals from computer science as well as to cultural heritage experts interested in promising enabling technologies
  • Includes supplementary material: sn.pub/extras

Part of the book series: Data-Centric Systems and Applications (DCSA)

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Table of contents (17 chapters)

  1. Preliminaries and Relevant Related Topics

  2. Sensors, Data Streams, and Storage

  3. Social Networks as Information Sources

  4. Context Awareness and Personalization

  5. Multimedia Information Management

Keywords

About this book

This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example.

Editors and Affiliations

  • Università di Salerno, Salerno, Italy

    Francesco Colace, Massimo De Santo

  • Università di Napoli, Napoli, Italy

    Vincenzo Moscato, Antonio Picariello

  • Politecnico di Milano, Milano, Italy

    Fabio A. Schreiber, Letizia Tanca

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