TY - GEN
T1 - SUSIE
T2 - 29th International Conference on Data Engineering, ICDE 2013
AU - Preda, Nicoleta
AU - Suchanek, Fabian
AU - Yuan, Wenjun
AU - Weikum, Gerhard
PY - 2013/8/15
Y1 - 2013/8/15
N2 - The API of a Web service restricts the types of queries that the service can answer. For example, a Web service might provide a method that returns the songs of a given singer, but it might not provide a method that returns the singers of a given song. If the user asks for the singer of some specific song, then the Web service cannot be called - even though the underlying database might have the desired piece of information. This asymmetry is particularly problematic if the service is used in a Web service orchestration system. In this paper, we propose to use on-the-fly information extraction to collect values that can be used as parameter bindings for the Web service. We show how this idea can be integrated into a Web service orchestration system. Our approach is fully implemented in a prototype called SUSIE. We present experiments with real-life data and services to demonstrate the practical viability and good performance of our approach.
AB - The API of a Web service restricts the types of queries that the service can answer. For example, a Web service might provide a method that returns the songs of a given singer, but it might not provide a method that returns the singers of a given song. If the user asks for the singer of some specific song, then the Web service cannot be called - even though the underlying database might have the desired piece of information. This asymmetry is particularly problematic if the service is used in a Web service orchestration system. In this paper, we propose to use on-the-fly information extraction to collect values that can be used as parameter bindings for the Web service. We show how this idea can be integrated into a Web service orchestration system. Our approach is fully implemented in a prototype called SUSIE. We present experiments with real-life data and services to demonstrate the practical viability and good performance of our approach.
UR - https://www.scopus.com/pages/publications/84881320788
U2 - 10.1109/ICDE.2013.6544827
DO - 10.1109/ICDE.2013.6544827
M3 - Conference contribution
AN - SCOPUS:84881320788
SN - 9781467349086
T3 - Proceedings - International Conference on Data Engineering
SP - 218
EP - 229
BT - ICDE 2013 - 29th International Conference on Data Engineering
Y2 - 8 April 2013 through 11 April 2013
ER -