Real-time Linked Dataspaces

1. Front Matter

   Pages i-xxiii

   PDF

2. Part I

   1. Front Matter

      Pages 1-1

      PDF

   2. Real-time Linked Dataspaces: A Data Platform for Intelligent Systems Within Internet of Things-Based Smart Environments

      • Edward Curry

      Pages 3-14Open Access

   3. Enabling Knowledge Flows in an Intelligent Systems Data Ecosystem

      • Edward Curry, Adeboyega Ojo

      Pages 15-43Open Access

   4. Dataspaces: Fundamentals, Principles, and Techniques

      • Edward Curry

      Pages 45-62Open Access

   5. Fundamentals of Real-time Linked Dataspaces

      • Edward Curry

      Pages 63-80Open Access

3. Part II

   1. Front Matter

      Pages 81-81

      PDF

   2. Data Support Services for Real-time Linked Dataspaces

      • Edward Curry

      Pages 83-87Open Access

   3. Catalog and Entity Management Service for Internet of Things-Based Smart Environments

      • Umair ul Hassan, Adegboyega Ojo, Edward Curry

      Pages 89-103Open Access

   4. Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces

      • André Freitas, Seán O’Riáin, Edward Curry

      Pages 105-124Open Access

   5. Enhancing the Discovery of Internet of Things-Based Data Services in Real-time Linked Dataspaces

      • Wassim Derguech, Edward Curry, Sami Bhiri

      Pages 125-137Open Access

   6. Human-in-the-Loop Tasks for Data Management, Citizen Sensing, and Actuation in Smart Environments

      • Umair ul Hassan, Edward Curry

      Pages 139-158Open Access

4. Part III

   1. Front Matter

      Pages 159-159

      PDF

   2. Stream and Event Processing Services for Real-time Linked Dataspaces

      • Edward Curry

      Pages 161-167Open Access

   3. Quality of Service-Aware Complex Event Service Composition in Real-time Linked Dataspaces

      • Feng Gao, Edward Curry

      Pages 169-190Open Access

   4. Dissemination of Internet of Things Streams in a Real-time Linked Dataspace

      • Yongrui Qin, Quan Z. Sheng, Edward Curry

      Pages 191-208Open Access

   5. Approximate Semantic Event Processing in Real-time Linked Dataspaces

      • Souleiman Hasan, Edward Curry

      Pages 209-225Open Access

5. Part IV

   1. Front Matter

      Pages 227-227

      PDF

   2. Enabling Intelligent Systems, Applications, and Analytics for Smart Environments Using Real-time Linked Dataspaces

      • Edward Curry

      Pages 229-236Open Access

   3. Autonomic Source Selection for Real-time Predictive Analytics Using the Internet of Things and Open Data

      • Ninad Arabekar, Wassim Derguech, Eanna Burke, Edward Curry

      Pages 237-253Open Access

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.

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

• National University of Ireland Galway, Galway, Ireland

  Edward Curry

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.