Real-time Linked Dataspaces
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...
Spremljeno u:
| Glavni autor: | |
|---|---|
| Format: | Online |
| Jezik: | engleski |
| Izdano: |
Springer Nature
2021
|
| Teme: | |
| Online pristup: | 1007315 |
| Oznake: |
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|
| _version_ | 1869520054546071552 |
|---|---|
| author | Curry, Edward |
| author_browse | Curry, Edward |
| author_facet | Curry, Edward |
| author_sort | Curry, Edward |
| collection | Directory of Open Access Books |
| description | 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 best-effort techniques and models to enable loose administrative proximity and semantic integration for managing and processing events and streams. The book is divided into five major parts: Part I “Fundamentals and Concepts” details the motivation behind and core concepts of real-time linked dataspaces, and establishes the need to evolve data management techniques in order to meet the challenges of enabling data ecosystems for intelligent systems within smart environments. Further, it explains the fundamental concepts of dataspaces and the need for specialization in the processing of dynamic real-time data. Part II “Data Support Services” explores the design and evaluation of critical services, including catalog, entity management, query and search, data service discovery, and human-in-the-loop. In turn, Part III “Stream and Event Processing Services” addresses the design and evaluation of the specialized techniques created for real-time support services including complex event processing, event service composition, stream dissemination, stream matching, and approximate semantic matching. Part IV “Intelligent Systems and Applications” explores the use of real-time linked dataspaces within real-world smart environments. In closing, Part V “Future Directions” outlines future research challenges for dataspaces, data ecosystems, and intelligent systems. Readers will gain a detailed understanding of how the dataspace paradigm is now being used to enable data ecosystems for intelligent systems within smart environments. The book covers the fundamental theory, the creation of new techniques needed for support services, and lessons learned from real-world intelligent systems and applications focused on sustainability. Accordingly, it will benefit not only researchers and graduate students in the fields of data management, big data, and IoT, but also professionals who need to create advanced data management platforms for intelligent systems, smart environments, and data ecosystems. |
| format | Online |
| id | doab-20.500.12854ir-31469 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-314692025-07-30T10:20:36Z Real-time Linked Dataspaces Curry, Edward Computer science Database management Special purpose computers Computers thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based 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 best-effort techniques and models to enable loose administrative proximity and semantic integration for managing and processing events and streams. The book is divided into five major parts: Part I “Fundamentals and Concepts” details the motivation behind and core concepts of real-time linked dataspaces, and establishes the need to evolve data management techniques in order to meet the challenges of enabling data ecosystems for intelligent systems within smart environments. Further, it explains the fundamental concepts of dataspaces and the need for specialization in the processing of dynamic real-time data. Part II “Data Support Services” explores the design and evaluation of critical services, including catalog, entity management, query and search, data service discovery, and human-in-the-loop. In turn, Part III “Stream and Event Processing Services” addresses the design and evaluation of the specialized techniques created for real-time support services including complex event processing, event service composition, stream dissemination, stream matching, and approximate semantic matching. Part IV “Intelligent Systems and Applications” explores the use of real-time linked dataspaces within real-world smart environments. In closing, Part V “Future Directions” outlines future research challenges for dataspaces, data ecosystems, and intelligent systems. Readers will gain a detailed understanding of how the dataspace paradigm is now being used to enable data ecosystems for intelligent systems within smart environments. The book covers the fundamental theory, the creation of new techniques needed for support services, and lessons learned from real-world intelligent systems and applications focused on sustainability. Accordingly, it will benefit not only researchers and graduate students in the fields of data management, big data, and IoT, but also professionals who need to create advanced data management platforms for intelligent systems, smart environments, and data ecosystems. 2021-02-10T13:50:50Z 2021-02-10T13:50:50Z 2020-03-18 13:36:15 2020-04-01T08:53:47Z 2020 book 1007315 OCN: 1129214061 http://library.oapen.org/handle/20.500.12657/22846 https://directory.doabooks.org/handle/20.500.12854/31469 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/22846/1/1007315.pdf https://library.oapen.org/bitstream/20.500.12657/22846/1/1007315.pdf https://library.oapen.org/bitstream/20.500.12657/22846/1/1007315.pdf Springer Nature 10.1007/978-3-030-29665-0 10.1007/978-3-030-29665-0 9fa3421d-f917-4153-b9ab-fc337c396b5a 325 Cham open access |
| spellingShingle | Computer science Database management Special purpose computers Computers thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems Curry, Edward Real-time Linked Dataspaces |
| title | Real-time Linked Dataspaces |
| title_full | Real-time Linked Dataspaces |
| title_fullStr | Real-time Linked Dataspaces |
| title_full_unstemmed | Real-time Linked Dataspaces |
| title_short | Real-time Linked Dataspaces |
| title_sort | real time linked dataspaces |
| topic | Computer science Database management Special purpose computers Computers thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems |
| topic_facet | Computer science Database management Special purpose computers Computers thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems |
| url | 1007315 |
| work_keys_str_mv | AT curryedward realtimelinkeddataspaces |