@conference{Tilo12,
author = "Zemke, Tilo and Fern{\'a}ndez-Villamor, Jos{\'e} Ignacio and Iglesias, Carlos A.",
abstract = "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.",
address = "Wrocław, PL",
booktitle = "Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012)",
isbn = "978-989-8565-13-6",
keywords = "Mashup;Web Service Composition;Ranking",
publisher = "SciTePress",
title = "{R}anking {W}eb {S}ervices using {C}entralities and {S}ocial {I}ndicators",
year = "2012",
}