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

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

Show other versions (2)

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...

Full description

Saved in:
Bibliographic Details
Main Author: Curry, Edward (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Database management.
Computers, Special purpose.
Computer science.
Database Management.
Special Purpose and Application-Based Systems.
Models of Computation.
Online Access:Link to Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • 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.

Similar Items