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.

Wisdom-Aware Computing: On the Interactive Recommendation of Composition KnowledgeService-Oriented Computing

Daniel, Florian;Casati, Fabio
2011-01-01

Abstract

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.
2011
Proceedings of ICSOC 2010 International Workshops
AA.VV.
Berlin
Springer-Verlag
9783642193934
9783642193941
S. R., Chowdhury; C., Rodríguez; Daniel, Florian; Casati, Fabio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/67378
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