Wisdom-aware Computing: On the interactive recommendation of composition knowledge

Soudip Roy Chowdhury, Carlos Rodríguez, Florian Daniel, Fabio Casati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationService-Oriented Computing - ICSOC 2010 International Workshops PAASC, WESOA, SEE, and SOC-LOG, Revised Selected Papers
Number of pages12
Volume6568 LNCS
Publication statusPublished - 2011
Externally publishedYes
Event8th International Conference on Service Oriented Computing, ICSOC 2010 - San Francisco, CA, United States
Duration: 7 Dec 201010 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6568 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference8th International Conference on Service Oriented Computing, ICSOC 2010
CountryUnited States
CitySan Francisco, CA

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Wisdom-aware Computing: On the interactive recommendation of composition knowledge'. Together they form a unique fingerprint.

Cite this