Ranking Web Services using Centralities and Social Indicators

Tilo Zemke, José Ignacio Fernández-Villamor & Carlos A. Iglesias (2012). Ranking Web Services using Centralities and Social Indicators. In Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012). Wrocław, PL : SciTePress.

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.