| 000 | 03511naaaa2200349uu 4500 | ||
|---|---|---|---|
| 003 | BUT | ||
| 005 | 20230327145411.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20200318s2020 xx |||||o ||| eng|| d | ||
| 020 | _a9783030296650 | ||
| 040 |
_aoapen _coapen |
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| 041 | 0 | _aeng | |
| 080 | _a004.65 | ||
| 100 | 1 |
_aCurry, Edward _4auth |
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| 245 | 1 | 0 |
_aReal-time Linked Dataspaces _bEnabling Data Ecosystems for Intelligent Systems |
| 260 |
_aCham _bSpringer Nature _c2020 |
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| 300 | _a1 electronic resource (325 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
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| 520 | _aThis 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0 _2cc |
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| 546 | _aEnglish | ||
| 650 | 0 |
_aБазы данных _92229 |
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| 653 | _aComputer science | ||
| 653 | _aDatabase management | ||
| 653 | _aSpecial purpose computers | ||
| 653 | _aComputers | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://library.oapen.org/bitstream/id/425d66c6-51aa-40d2-92f3-5cca6ca11839/1007315.pdf _70 _zDownload |
| 856 | 4 | 0 |
_awww.oapen.org _uhttp://library.oapen.org/handle/20.500.12657/22846 _70 _zDescription |
| 909 |
_c4 _dDarya Shvetsova |
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| 942 |
_2udc _cEE |
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| 999 |
_c6142 _d6142 |
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