Real-time Linked Dataspaces: Enabling Data Ecosystems for Intelligent Systems

Description

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. Front Matter ....Pages i-xxiii Front Matter ....Pages 1-1 Real-time Linked Dataspaces: A Data Platform for Intelligent Systems Within Internet of Things-Based Smart Environments (Edward Curry)....Pages 3-14 Enabling Knowledge Flows in an Intelligent Systems Data Ecosystem (Edward Curry, Adeboyega Ojo)....Pages 15-43 Dataspaces: Fundamentals, Principles, and Techniques (Edward Curry)....Pages 45-62 Fundamentals of Real-time Linked Dataspaces (Edward Curry)....Pages 63-80 Front Matter ....Pages 81-81 Data Support Services for Real-time Linked Dataspaces (Edward Curry)....Pages 83-87 Catalog and Entity Management Service for Internet of Things-Based Smart Environments (Umair ul Hassan, Adegboyega Ojo, Edward Curry)....Pages 89-103 Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces (André Freitas, Seán O’Riáin, Edward Curry)....Pages 105-124 Enhancing the Discovery of Internet of Things-Based Data Services in Real-time Linked Dataspaces (Wassim Derguech, Edward Curry, Sami Bhiri)....Pages 125-137 Human-in-the-Loop Tasks for Data Management, Citizen Sensing, and Actuation in Smart Environments (Umair ul Hassan, Edward Curry)....Pages 139-158 Front Matter ....Pages 159-159 Stream and Event Processing Services for Real-time Linked Dataspaces (Edward Curry)....Pages 161-167 Quality of Service-Aware Complex Event Service Composition in Real-time Linked Dataspaces (Feng Gao, Edward Curry)....Pages 169-190 Dissemination of Internet of Things Streams in a Real-time Linked Dataspace (Yongrui Qin, Quan Z. Sheng, Edward Curry)....Pages 191-208 Approximate Semantic Event Processing in Real-time Linked Dataspaces (Souleiman Hasan, Edward Curry)....Pages 209-225 Front Matter ....Pages 227-227 Enabling Intelligent Systems, Applications, and Analytics for Smart Environments Using Real-time Linked Dataspaces (Edward Curry)....Pages 229-236 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 237-253 Building Internet of Things-Enabled Digital Twins and Intelligent Applications Using a Real-time Linked Dataspace (Edward Curry, Wassim Derguech, Souleiman Hasan, Christos Kouroupetroglou, Umair ul Hassan, Willem Fabritius)....Pages 255-270 A Model for Internet of Things Enhanced User Experience in Smart Environments (Edward Curry, Willem Fabritius, Souleiman Hasan, Christos Kouroupetroglou, Umair ul Hassan, Wassim Derguech)....Pages 271-294 Front Matter ....Pages 295-295 Future Research Directions for Dataspaces, Data Ecosystems, and Intelligent Systems (Edward Curry)....Pages 297-304 Back Matter ....Pages 305-325