Real-time Linked Dataspaces Enabling Data Ecosystems for Intelligent Systems

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 bes...

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Detalles Bibliográficos
Autor principal: Curry, Edward. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham Springer Nature 2020
Cham : 2020.
Edición:1st ed. 2020.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009431290706719
Tabla de Contenidos:
  • 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.