000 03999nam a22005415i 4500
001 978-3-031-15371-6
003 DE-He213
005 20240423125349.0
007 cr nn 008mamaa
008 230124s2023 sz | s |||| 0|eng d
020 _a9783031153716
_9978-3-031-15371-6
024 7 _a10.1007/978-3-031-15371-6
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM005000
_2bisacsh
072 7 _aUX
_2thema
082 0 4 _a005.3
_223
100 1 _aTommasini, Riccardo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aStreaming Linked Data
_h[electronic resource] :
_bFrom Vision to Practice /
_cby Riccardo Tommasini, Pieter Bonte, Fabiano Spiga, Emanuele Della Valle.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXVI, 158 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. General Introduction -- 2. Preliminaries -- 3. Taming Variety and Velocity -- 4. Streaming Linked Data Life Cycle -- 5. Web Stream Processing Systems and Benchmarks -- 6. Exercise Book.
520 _aThis book provides a comprehensive overview of core concepts and technological foundations for continuous engineering of Web streams. It presents various systems and applications and includes real-world examples. Last not least, it introduces the readers to RSP4J, a novel open-source project that aims to gather community efforts in software engineering and empirical research. The book starts with an introductory chapter that positions the work by explaining what motivates the design of specific techniques for processing data streams using Web technologies. Chapter 2 briefly summarizes the necessary background concepts and models needed to understand the remaining content of the book. Subsequently, chapter 3 focuses on processing RDF streams, taming data velocity in an open environment characterized by high data variety. It introduces query answering algorithms with RSP-QL and analytics functions over streaming data. Chapter 4 presents the life cycle of streaming linked data, it focuses on publishing streams on the Web as a prerequisite aspect to make data findable and accessible for applications. Chapter 5 touches on the problems of benchmarks and systems that analyze Web streams to foster technological progress. It surveys existing benchmarks and introduces guidelines that may support new practitioners in approaching the issue of continuous analytics. Finally, chapter 6 presents a list of examples and exercises that will help the reader to approach the area, get used to its practices and become confident in its technological possibilities. Overall, this book is mainly written for graduate students and researchers in Web and stream data management. It collects research results and will guide the next generation of researchers and practitioners.
650 0 _aApplication software.
650 0 _aData mining.
650 0 _aMachine learning.
650 1 4 _aComputer and Information Systems Applications.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMachine Learning.
700 1 _aBonte, Pieter.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aSpiga, Fabiano.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aDella Valle, Emanuele.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031153709
776 0 8 _iPrinted edition:
_z9783031153723
856 4 0 _uhttps://doi.org/10.1007/978-3-031-15371-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c177133
_d177133