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By Francesco Colace, Massimo De Santo, Vincenzo Moscato, Antonio Picariello, Fabio A. Schreiber, Letizia Tanca

ISBN-10: 3319200615

ISBN-13: 9783319200613

ISBN-10: 3319200623

ISBN-13: 9783319200620

This publication contributes to illustrating the methodological and technological problems with info administration in Pervasive structures through the use of the DataBenc venture because the operating case learn for numerous examine contributions: sensor info administration, user-originated facts operation and reasoning, multimedia info administration, facts analytics and reasoning for occasion detection and selection making, context modelling and regulate, automated information and repair tailoring for customization and advice. The booklet is geared up into the subsequent major components: i) multimedia details administration; ii) sensor facts streams and garage; iii) social networks as details assets; iv) context expertise and personalization. The case research is used during the e-book as a reference example.

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Read e-book online Data Management in Pervasive Systems PDF

This booklet contributes to illustrating the methodological and technological problems with facts administration in Pervasive structures through the use of the DataBenc venture because the operating case examine for a number of study contributions: sensor information administration, user-originated facts operation and reasoning, multimedia information administration, facts analytics and reasoning for occasion detection and choice making, context modelling and keep watch over, computerized info and repair tailoring for customization and advice.

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Report on Drivers of Change and the Future of Cultural Heritage. http://www. pdf (2012) 24. : The intersecting roles of consumer and producer: a critical perspective on coproduction, cocreation and prosumption. Soc. Compass IoT 2(3), 963–980 (2008) 25. ITU Report: The internet of things. IT-2005/e (2005) 26. : Shaping future service environments with the cloud and internet of things: networking challenges and service evolution. In: Leveraging Applications of Formal Methods Verification, and Validation.

Sharpe, New York (2006) 29. : Service-dominant logic: reactions, reflections and refinements. Mark. Theory 6(3), 281–288 (2006) 30. : The service system is the basic abstraction of service science. Inf. Syst. e-Business Manag. 7(4), 395–406 (2009) 31. : Internet of things-aware process modeling: integrating IoT devices as business process resources. In: Advanced Information Systems Engineering. Springer, Berlin (2013) 32. : Context aware computing for the internet of things: a survey. IEEE Commun.

26 F. Colace et al. large and complex that processing them by means of traditional data management systems becomes difficult. 1 Relational Technologies In a classical relational database management system (RDBMS), data are organized into a fixed set of tables (called relations), whose rows (or records), called tuples, assume a value for each table column (called attribute) and are identified by a key value; the relationships between data of different tables are then based on the values of the data themselves.

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Data Management in Pervasive Systems by Francesco Colace, Massimo De Santo, Vincenzo Moscato, Antonio Picariello, Fabio A. Schreiber, Letizia Tanca


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