Wishful search: interactive composition of data mashups
Proceedings of the 17th international conference on World Wide Web
Mashup Advisor: A Recommendation Tool for Mashup Development
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Automatic Mash Up of Composite Applications
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
Proceedings of the VLDB Endowment
Efficient, interactive recommendation of mashup composition knowledge
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Baya: assisted mashup development as a service
Proceedings of the 21st international conference companion on World Wide Web
A language for end-user web augmentation: Caring for producers and consumers alike
ACM Transactions on the Web (TWEB)
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Despite the emergence of mashup tools like Yahoo! Pipes or JackBe Presto Wires, developing mashups is still non-trivial and requires intimate knowledge about the functionality of web APIs and services, their interfaces, parameter settings, data mappings, and so on. We aim to assist the mashup process and to turn it into an interactive co-creation process, in which one part of the solution comes from the developer and the other part from reusable composition knowledge that has proven successful in the past. We harvest composition knowledge from a repository of existing mashup models by mining a set of reusable composition patterns, which we then use to interactively provide composition recommendations to developers while they model their own mashup. Upon acceptance of a recommendation, the purposeful design of the respective pattern types allows us to automatically weave the chosen pattern into a partial mashup model, in practice performing a set of modeling actions on behalf of the developer. The experimental evaluation of our prototype implementation demonstrates that it is indeed possible to harvest meaningful, reusable knowledge from existing mashups, and that even complex recommendations can be efficiently queried and weaved also inside the client browser.