@inproceedings{13e6888180c0487b96ee7d1fd83299cd,
title = "Composition context matching for web service recommendation",
abstract = "In a service oriented B2B context, companies are aiming to cooperate and interact with others to dynamically create added value services by composing them. The tremendous growth in the amount of available web services impulses many researches on proposing discovery mechanisms to help designers compose services. However, most of the proposed solutions ignore in their discovery queries the upcoming services' interactions within the being designed compositions. In this paper, we present an original recommendation approach to discover a requested service to be incorporated into a specific composition. We propose to take into account the composition context specified through the process fragment surrounding the requested service, and benefit from the modeling and usage of previous service compositions to build our recommendations. Provided experimental evaluations in this paper show that our approach is efficient in realistic situations.",
keywords = "Pattern matching, Recommender system, Web service composition",
author = "Chan, \{Nguyen Ngoc\} and Walid Gaaloul and Samir Tata",
year = "2011",
month = sep,
day = "29",
doi = "10.1109/SCC.2011.68",
language = "English",
isbn = "9780769544625",
series = "Proceedings - 2011 IEEE International Conference on Services Computing, SCC 2011",
pages = "624--631",
booktitle = "Proceedings - 2011 IEEE International Conference on Services Computing, SCC 2011",
note = "2011 IEEE International Conference on Services Computing, SCC 2011 ; Conference date: 04-07-2011 Through 09-07-2011",
}