Ontology-based feature aggregation for multi-valued ranking

Abstract

In the last years we see a clear trend in the Computer Science area to a move towards Service-Oriented Architectures (SOAs). Research in the service domain encompasses its whole life-cycle, including topics as creation, discovery, selection, ranking and composition. This paper focuses on the ranking of discovered Web Services, proposing a novel approach based on non-functional properties of services: information that is available about services by analyzing their description that is available on the Web, their hyperlink relations, monitoring information, etc. The approach is making use of semantic technologies, aggregating the various real-world service aspects as described above in a unified model and providing different rank values based on those aspects. © 2010 Springer-Verlag.