Chemnitz University of Technology, Computer Science: Distributed and Self-organizing Systems Research Group
Distributed and Self-organizing Systems Research Group (VSR)
Publication Details
Ranking Web Services using Centralities and Social Indicators
Type
Conference Paper
Year
2012
Authors
student
Tilo Zemke
Jose Ignacio Fernández-Villamor
Carlos Á. Iglesias
Event
Location
Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE)
ISBN/ISSN
978-989-8565-13-6
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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.
Reference Copy
Tilo Zemke, Jose Ignacio Fernández-Villamor, Carlos Á. Iglesias: Ranking Web Services using Centralities and Social Indicators; Pages 156-160; Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE)
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