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
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| Cham, : Springer Nature, 2022 | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 Disseny de bases de dades Intel·ligència artificial Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030986360
3030986365 |
| Classificazione | COM018000COM021000COM032000COM053000MAT029000 |
| 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
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| Cham, : Springer Nature, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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||
| Cham, : Springer International Publishing AG, 2021 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 |
| Classificazione | BUS042000BUS070030BUS087000COM021000COM030000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910488709403321 |
Curry Edward
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||
| Cham, : Springer International Publishing AG, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| [Place of publication not identified], : ACM, 2005 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Cham, : Springer Nature, 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Real-time Linked Dataspaces : Enabling Data Ecosystems for Intelligent Systems / / by Edward Curry
| Real-time Linked Dataspaces : Enabling Data Ecosystems for Intelligent Systems / / by Edward Curry |
| Autore | Curry Edward |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | 2019 |
| Descrizione fisica | 1 online resource (XXIII, 325 p. 111 illus., 30 illus. in color.) |
| Disciplina | 005.74 |
| Soggetto topico |
Database management
Computers, Special purpose Computer science Database Management Special Purpose and Application-Based Systems Models of Computation |
| ISBN | 3-030-29665-2 |
| Classificazione | COM021000COM025000COM069000 |
| 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
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| 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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||
| Cham, : Springer International Publishing AG, 2022 | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 |
| Edizione | [1st ed.] |
| 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 |
| Collana | Computer Science Series |
| Soggetto topico |
Artificial intelligence
Big data Dades massives Intel·ligència artificial |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-78307-3 |
| Classificazione | COM018000COM021000COM021030COM025000MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566453203321 |
Curry Edward
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| Cham, : Springer International Publishing AG, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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