Designing and developing context-aware mobile mashups: The CAMUS approach

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Abstract

CAMUS (Context-Aware Mobile mashUpS) is a framework for the design of mobile applications that dynamically collect and integrate heterogeneous resources (data sources and services) to offer integrated content and functions to mobile users in a context-aware fashion. CAMUS exploits a set of high-level abstractions for context and mashup modeling that hide the complexity resulting from service selection, invocation and integration. Generative techniques then enable the transformation of models into running code for mobile applications that flexibly respond to actual user needs as they vary in different situations of use.

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Corvetta, F., Matera, M., Medana, R., Quintarelli, E., Rizzo, V., & Tanca, L. (2015). Designing and developing context-aware mobile mashups: The CAMUS approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9114, pp. 651–654). Springer Verlag. https://doi.org/10.1007/978-3-319-19890-3_49

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