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Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Autore Curry Edward
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Quantitative research
Application software
Computer systems
Data protection
Database Management
Data Analysis and Big Data
Computer and Information Systems Applications
Computer System Implementation
Data and Information Security
Soggetto non controllato Data Platforms
Data Spaces
Data Sharing
Data Lifecycle
Platform Architectures
Data Life Cycle
Regulatory Compliance
ISBN 3-030-98636-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Spaces: Design, Deployment, and Future Directions -- Part I: Design -- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach -- Data Platforms for Data Spaces -- Technological Perspective of Data Governance in Data Space Ecosystems -- Increasing Trust for Data Spaces with Federated Learning -- KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform -- Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software -- AI-Based Hybrid Data Platforms -- Part II: Deployment -- A Digital Twin Platform for Industrie 4.0 -- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) -- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space -- Data Space Best Practices for Data Interoperability in FinTechs -- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration -- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace -- Part III: Future Directions -- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research -- Common European Data Spaces: Challenges and Opportunities.
Record Nr. UNISA-996490356503316
Curry Edward  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Autore Curry Edward
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Quantitative research
Application software
Computer systems
Data protection
Database Management
Data Analysis and Big Data
Computer and Information Systems Applications
Computer System Implementation
Data and Information Security
Soggetto non controllato Data Platforms
Data Spaces
Data Sharing
Data Lifecycle
Platform Architectures
Data Life Cycle
Regulatory Compliance
ISBN 3-030-98636-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Spaces: Design, Deployment, and Future Directions -- Part I: Design -- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach -- Data Platforms for Data Spaces -- Technological Perspective of Data Governance in Data Space Ecosystems -- Increasing Trust for Data Spaces with Federated Learning -- KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform -- Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software -- AI-Based Hybrid Data Platforms -- Part II: Deployment -- A Digital Twin Platform for Industrie 4.0 -- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) -- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space -- Data Space Best Practices for Data Interoperability in FinTechs -- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration -- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace -- Part III: Future Directions -- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research -- Common European Data Spaces: Challenges and Opportunities.
Record Nr. UNINA-9910592294803321
Curry Edward  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem
The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem
Autore Curry Edward
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (412 p.)
Altri autori (Persone) MetzgerAndreas
ZillnerSonja
PazzagliaJean-Christophe
García RoblesAna
Soggetto topico Information retrieval
Business & management
Research & development management
Information technology industries
Databases
Soggetto non controllato Information Storage and Retrieval
Business and Management, general
Innovation/Technology Management
The Computer Industry
Big Data
Innovation and Technology Management
Technology Commercialization
Digital Transformation
Innovation Spaces
Data-Driven Innovation
Data Analytics
Technology Management
Data Ecosystems
Data Protection
Big Data Business Models
Open Access
Information retrieval
Data warehousing
Business & Management
Research & development management
Industrial applications of scientific research & technological innovation
Information technology industries
Databases
ISBN 3-030-68176-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464495403316
Curry Edward  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
Autore Curry Edward
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (412 p.)
Altri autori (Persone) MetzgerAndreas
ZillnerSonja
PazzagliaJean-Christophe
García RoblesAna
Soggetto topico Information retrieval
Business & management
Research & development management
Information technology industries
Databases
Soggetto non controllato Information Storage and Retrieval
Business and Management, general
Innovation/Technology Management
The Computer Industry
Big Data
Innovation and Technology Management
Technology Commercialization
Digital Transformation
Innovation Spaces
Data-Driven Innovation
Data Analytics
Technology Management
Data Ecosystems
Data Protection
Big Data Business Models
Open Access
Information retrieval
Data warehousing
Business & Management
Research & development management
Industrial applications of scientific research & technological innovation
Information technology industries
Databases
ISBN 3-030-68176-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910488709403321
Curry Edward  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the ACM/IFIP/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the ACM/IFIP/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
Autore Curry Edward
Pubbl/distr/stampa [Place of publication not identified], : ACM, 2005
Descrizione fisica 1 online resource (45 pages)
Collana ACM International Conference Proceedings Series
Soggetto topico Engineering & Applied Sciences
Computer Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the Association for Computing Machinery/International Federation for Information Processing/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
DSM '05
Proceedings of the 2nd International Doctoral Symposium on Middleware
Record Nr. UNINA-9910375929603321
Curry Edward  
[Place of publication not identified], : ACM, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Real-time Linked Dataspaces [[electronic resource] ] : Enabling Data Ecosystems for Intelligent Systems / / by Edward Curry
Real-time Linked Dataspaces [[electronic resource] ] : Enabling Data Ecosystems for Intelligent Systems / / by Edward Curry
Autore Curry Edward
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, : Springer Nature, 2020
Descrizione fisica 1 online resource (XXIII, 325 p. 111 illus., 30 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Special purpose computers
Computers
Database Management
Special Purpose and Application-Based Systems
Models and Principles
Soggetto non controllato Computer science
Database management
Special purpose computers
Computers
ISBN 3-030-29665-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910366657203321
Curry Edward  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Real-time Linked Dataspaces [[electronic resource] ] : Enabling Data Ecosystems for Intelligent Systems / / by Edward Curry
Real-time Linked Dataspaces [[electronic resource] ] : Enabling Data Ecosystems for Intelligent Systems / / by Edward Curry
Autore Curry Edward
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, : Springer Nature, 2020
Descrizione fisica 1 online resource (XXIII, 325 p. 111 illus., 30 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Special purpose computers
Computers
Database Management
Special Purpose and Application-Based Systems
Models and Principles
Soggetto non controllato Computer science
Database management
Special purpose computers
Computers
ISBN 3-030-29665-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996465443503316
Curry Edward  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Technologies and applications for big data value / editors, Edward Curry [et al.]
Technologies and applications for big data value / editors, Edward Curry [et al.]
Autore Curry Edward
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2022
Descrizione fisica 1 online resource (555 p.) : illustrations (chiefly color)
Altri autori (Persone) CurryEdward R
AuerSören <1975->
BerreArne J
MetzgerAndreas
PerezMaria S
ZillnerSonja
Soggetto topico Artificial intelligence
Big data
Soggetto non controllato Big Data
Data Management
Data Processing
Data Analytics
Data Visualisation and User Interaction
Knowledge Discovery
Information Retrieval
ISBN 3-030-78307-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566453203321
Curry Edward  
Cham, : Springer International Publishing AG, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Technologies and applications for big data value / editors, Edward Curry [et al.]
Technologies and applications for big data value / editors, Edward Curry [et al.]
Autore Curry Edward
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2022
Descrizione fisica 1 online resource (555 p.) : illustrations (chiefly color)
Altri autori (Persone) CurryEdward R
AuerSören <1975->
BerreArne J
MetzgerAndreas
PerezMaria S
ZillnerSonja
Soggetto topico Artificial intelligence
Big data
Soggetto non controllato Big Data
Data Management
Data Processing
Data Analytics
Data Visualisation and User Interaction
Knowledge Discovery
Information Retrieval
ISBN 3-030-78307-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996472064303316
Curry Edward  
Cham, : Springer International Publishing AG, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui