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Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Part I

  3. Part II

    1. Front Matter
      Pages 81-81
    2. Edward Curry
      Pages 83-87 Open Access
    3. Umair ul Hassan, Adegboyega Ojo, Edward Curry
      Pages 89-103 Open Access
    4. André Freitas, Seán O’Riáin, Edward Curry
      Pages 105-124 Open Access
    5. Wassim Derguech, Edward Curry, Sami Bhiri
      Pages 125-137 Open Access
  4. Part III

    1. Front Matter
      Pages 159-159
    2. Yongrui Qin, Quan Z. Sheng, Edward Curry
      Pages 191-208 Open Access
    3. Souleiman Hasan, Edward Curry
      Pages 209-225 Open Access
  5. Part IV

About this book

Introduction

This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems. The book introduces a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration for managing and processing events and streams.

The book is divided into five major parts: Part I “Fundamentals and Concepts” details the motivation behind and core concepts of real-time linked dataspaces, and establishes the need to evolve data management techniques in order to meet the challenges of enabling data ecosystems for intelligent systems within smart environments. Further, it explains the fundamental concepts of dataspaces and the need for specialization in the processing of dynamic real-time data. Part II “Data Support Services” explores the design and evaluation of critical services, including catalog, entity management, query and search, data service discovery, and human-in-the-loop. In turn, Part III “Stream and Event Processing Services” addresses the design and evaluation of the specialized techniques created for real-time support services including complex event processing, event service composition, stream dissemination, stream matching, and approximate semantic matching. Part IV “Intelligent Systems and Applications” explores the use of real-time linked dataspaces within real-world smart environments. In closing, Part V “Future Directions” outlines future research challenges for dataspaces, data ecosystems, and intelligent systems.

Readers will gain a detailed understanding of how the dataspace paradigm is now being used to enable data ecosystems for intelligent systems within smart environments. The book covers the fundamental theory, the creation of new techniques needed for support services, and lessons learned from real-world intelligent systems and applications focused on sustainability. Accordingly, it will benefit not only researchers and graduate students in the fields of data management, big data, and IoT, but also professionals who need to create advanced data management platforms for intelligent systems, smart environments, and data ecosystems.


Keywords

Open Access Linked Dataspaces Smart Environments Distributed Computing Methodologies Internet of Things Ubiquitous computing

Authors and affiliations

  1. 1.National University of Ireland GalwayGalwayIreland

About the authors

Edward Curry is a research leader at the Insight Centre for Data Analytics at the National University of Ireland Galway. His research interests are predominantly in open distributed systems, particularly in the areas of incremental data management (e.g. dataspaces), approximation and unstructured events types, with a special interest in applications for smart environments and data ecosystems. Edward has published over 160 scientific articles in journals, books, and international conferences.

Bibliographic information