Ranking Web Services using Centralities and Social Indicators
Jose Ignacio Fernández-Villamor
Carlos Á. Iglesias
Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE)
Nowadays, developers of web application mashups face a sheer overwhelming variety and pluralism of web services. Therefore, choosing appropriate web services to achieve specific goals requires a certain amount of knowledge as well as expertise. In order to support users in choosing appropriate web services it is not only important to match their search criteria to a dataset of possible choices but also to rank the results according to their relevance, thus minimizing the time it takes for taking such a choice. Therefore, we investigated six ranking approaches in an empirical manner and compared them to each other. Moreover, we have had a look on how one can combine those ranking algorithms linearly in order to maximize the quality of their outputs.
Zemke, Tilo; Fernández-Villamor, Jose I.; Iglesias, Carlos Á.: Ranking Web Services using Centralities and Social Indicators. Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), pp. 156-160, 2012.