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Hybrid Recommendation of Composition Knowledge for End User Development of Mashups

Authors:
Carsten Radeck
Alexander Lorz
Gregor Blichmann
Klaus Meißner

Keywords: Mashup; End User Development; Hybrid Recommendation; Runtime Composition.

Abstract:
Due to the increasing number of available web APIs and services, mashups have become a prominent approach for building situational web applications. Still, current mashup tooling is not suitable for end users lacking detailed understanding of technical terms or development knowledge. A promising approach to ease mashup development is end user guidance utilizing recommendations on composition knowledge gained from experienced, similar users and semantic component annotations. In this paper, we present a novel hybrid recommendation approach suggesting suitable advice for the application development and adaptation to the end user. Composition knowledge in terms of common composition patterns is applied. Pattern instances are generalized by determining semantic exchangeablity of components to allow for contextsensitive recommendations. In addition, they are automatically integrated with the running application.

Pages: 30 to 33

Copyright: Copyright (c) IARIA, 2012

Publication date: May 27, 2012

Published in: conference

ISSN: 2308-3972

ISBN: 978-1-61208-200-4

Location: Stuttgart, Germany

Dates: from May 27, 2012 to June 1, 2012