Synopsis
1 Real-time Linked Dataspaces: A Data Platform for Intelligent Systems within Internet of Things-based Smart Environments.- 2 Enabling Knowledge Flows in an Intelligent Systems Data Ecosystem.- 3 Dataspaces: Fundamentals, Principles, and Techniques.- 4 Fundamentals of Real-time Linked Dataspaces.- 5 Data Support Services for Real-time Linked Dataspaces.- 6 Catalog and Entity Management Service for Internet of Things-based Smart Environments.- 7 Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces.- 8 Enhancing the Discovery of Internet of Things-based Data Services in Real-time Linked Dataspaces.- 9 Human-in-the-Loop Tasks for Data Management, Citizen Sensing, and Actuation in Smart Environments.- 10 Stream and Event Processing Services for Real-time Linked Dataspaces.- 11 Quality of Service-Aware Complex Event Service Composition in Real-time Linked Dataspaces.- 12 Dissemination of Internet of Things Streams in a Real-time Linked Dataspace.- 13 Approximate Semantic Event Processing in Real-time Linked Dataspaces.- 14 Enabling Intelligent Systems, Applications, and Analytics for Smart Environments using Real-time Linked Dataspaces.- 15 Autonomic Source Selection for Real-time Predictive Analytics using the Internet of Things and Open Data.- 16 Building Internet of Things-enabled Digital Twins and Intelligent Applications using a Real-time Linked Dataspace.- 17 A Model for Internet of Things Enhanced User Experience in Smart Environments.- 18 Future Research Directions for Dataspaces, Data Ecosystems, and Intelligent Systems.
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