This paper presents a design methodology and an accompanying platform for the design and fast development of Context-Aware Mobile mashUpS (CAMUS). The approach is characterized by the role given to context as a first-class modeling dimension used to support i) the identification of the most adequate resources that can satisfy the users' situational needs and ii) the consequent tailoring at runtime of the provided data and functions. Context-based abstractions are exploited to generate models specifying how data returned by the selected services have to be merged and visualized by means of integrated views. Thanks to the adoption of Model-Driven Engineering (MDE) techniques, these models drive the flexible execution of the final mobile app on target mobile devices. A prototype of the platform, making use of novel and advanced Web and mobile technologies, is also illustrated.

On the Role of Context in the Design of Mobile Mashups

GIANELLI, STEFANO;MATERA, MARISTELLA;MEDANA, RICCARDO;QUINTARELLI, ELISA;TANCA, LETIZIA;ZACCARIA, VITTORIO
2016

Abstract

This paper presents a design methodology and an accompanying platform for the design and fast development of Context-Aware Mobile mashUpS (CAMUS). The approach is characterized by the role given to context as a first-class modeling dimension used to support i) the identification of the most adequate resources that can satisfy the users' situational needs and ii) the consequent tailoring at runtime of the provided data and functions. Context-based abstractions are exploited to generate models specifying how data returned by the selected services have to be merged and visualized by means of integrated views. Thanks to the adoption of Model-Driven Engineering (MDE) techniques, these models drive the flexible execution of the final mobile app on target mobile devices. A prototype of the platform, making use of novel and advanced Web and mobile technologies, is also illustrated.
Rapid Mashup Development Tools - Second International Rapid Mashup Challenge, RMC 2016, Lugano, Switzerland, June 6, 2016, Revised Selected Papers
978-3-319-53173-1
Web Mashups
Context modeling
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1008399
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