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Record Nr. |
UNINA9910254841103321 |
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Titolo |
Rapid Mashup Development Tools : Second International Rapid Mashup Challenge, RMC 2016, Lugano, Switzerland, June 6, 2016, Revised Selected Papers / / edited by Florian Daniel, Martin Gaedke |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (VII, 135 p. 58 illus.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0929 ; ; 696 |
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Disciplina |
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Soggetti |
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Application software |
Software engineering |
User interfaces (Computer systems) |
Information storage and retrieval |
Information Systems Applications (incl. Internet) |
Software Engineering |
User Interfaces and Human Computer Interaction |
Computer Appl. in Administrative Data Processing |
Information Storage and Retrieval |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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ICWE 2016 Rapid Mashup Challenge: Introduction -- FlexMash 2.0 -- Flexible Modeling and Execution of Data Mashups -- The SmartComposition Approach for Creating Environment-Aware Multi-Screen Mashups -- Linked Widgets Platform for Rapid Collaborative Semantic Mashup Development -- End-User Development for the Internet of Things: EFESTO and the 5W composition paradigm -- Toolet: an editor for Web-based tool appropriation by hobby programmers -- On the Role of Context in the Design of Mobile Mashups -- Challenge Outcome and Conclusion. |
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Sommario/riassunto |
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This book constitutes revised selected papers from the Second International Rapid Mashup Challenge, RMC 2016, held in Lugano, Switzerland in June 2016. The 6 papers presented in this volume were |
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carefully reviewed and selected from 8 submissions. They are post-challenge extensions of the selected short participation proposals. The 2016 edition of the Challenge is the second installment of a series of challenges that aim to engage researchers and practitioners in a competition for the best mashup approach. . |
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