Humans, semantic services and similarity: A user study of semantic Web services matching and composition

✍ Scribed by Eran Toch; Iris Reinhartz-Berger; Dov Dori

• Publisher: Elsevier Science
• Year: 2011
• Tongue: English
• Weight: 956 KB
• Volume: 9
• Category: Article
• ISSN: 1570-8268
• DOI: 10.1016/j.websem.2010.10.002

✦ Synopsis

Inferring similarity between Web services is a fundamental construct for service matching and composition. However, there is little evidence of how humans perceive similarity between services, a crucial knowledge for designing usable and practical service matching and composition algorithms. In this study we have experimented with 127 users to define and evaluate a model for service similarity in the context of semantic Web services. Our findings show that humans take a complex and sophisticated approach towards service similarity, which is more fine-grained than suggested by theoretical models of service similarity, such as logic-based approaches. We define a similarity model, based on our empirical findings and prove that the similarity model, expressed by a distance metric, is complete and that it closely predicts humans' perceptions of service similarity. Finally, we describe an application of a Web service search engine that implements our model.