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Wishful search: interactive composition of data mashups
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Mashup Advisor: A Recommendation Tool for Mashup Development
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
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ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
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ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Semantic-Based Mashup of Composite Applications
IEEE Transactions on Services Computing
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ASWC'06 Proceedings of the First Asian conference on The Semantic Web
On development practices for end users
Search computing
How end-user development will save composition technologies from their continuing failures
IS-EUD'11 Proceedings of the Third international conference on End-user development
Enabling end user development through mashups: requirements, abstractions and innovation toolkits
IS-EUD'11 Proceedings of the Third international conference on End-user development
End-user requirements for wisdom-aware EUD
IS-EUD'11 Proceedings of the Third international conference on End-user development
Efficient, interactive recommendation of mashup composition knowledge
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Integration of telco services into enterprise mashup applications
ICWE'11 Proceedings of the 11th international conference on Current Trends in Web Engineering
Collective cubing platform towards definition and analysis of warehouse cubes
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Fully automated resource retrieval in telecommunications and internet converged environments
Information Systems Frontiers
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We propose to enable and facilitate the development of service-based development by exploiting community composition knowledge, i.e., knowledge that can be harvested from existing, successful mashups or service compositions defined by other and possibly more skilled developers (the community or crowd) in a same domain. Such knowledge can be used to assist less skilled developers in defining a composition they need, allowing them to go beyond their individual capabilities. The assistance comes in the form of interactive advice, as we aim at supporting developers while they are defining their composition logic, and it adjusts to the skill level of the developer. In this paper we specifically focus on the case of process-oriented, mashup-like applications, yet the proposed concepts and approach can be generalized and also applied to generic algorithms and procedures.