A methodology for quality-based mashup of data sources
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Applying recommender system based mashup to web-telecom hybrid service creation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Bridging the gaps towards structured mobile SOA
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Mining social tags to predict mashup patterns
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Mashup services to daily activities: end-user perspective in designing a consumer mashups
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Weighted fuzzy clustering for capability-driven service aggregation
Service Oriented Computing and Applications
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The descriptiveness of capabilities advertised on service-oriented architectures provides a promising platform for crafting new knowledge. Service mashup has been introduced as an approach for integrating the information provided from multiple web services into one common operational picture. In the future, scale will be a barrier to these types of approaches. With the entry and exit of large numbers of services on the Internet, it will be difficult to find and suggest the most relevant service candidates for new mashups. In this work, we present an efficient syntactical approach for actively discovering web service candidates for service mashups. This approach leverages the message naming characteristics of the developers and of the target service repository to inform search algorithms. Favorable precision results are described based on experimentation executed on an open repository of web service from the Internet.