@inproceedings{e3e60253bcfe451b9a0ea8c594e60ffe,
title = "A ranking method for social-annotation-based service discovery",
abstract = "With the rapid growth of Web services, service discovery becomes an important and difficult issue. Traditional UDDI-based and WSDL-based methods of service discovery have low precision, and semantic-based service discovery methods are usually inefficient and time-consuming. We observe that social annotations can optimize both precision and efficiency of service discovery. In this paper, we propose a social-annotation-based service discovery method by using a learning to rank method, and propose two algorithms, Query Annotation Relevance (QAR) and Service Annotation Ranking (SAR), to calculate the dynamic Query-dependent feature and the static Query-independent feature respectively. Our experiments show that our method is effective for improving service discovery performance.",
keywords = "Web service, service discovery, social annotation, tag",
author = "Duo Qu and Xudong Liu and Hailong Sun and Zicheng Huang",
year = "2011",
doi = "10.1109/SOSE.2011.6139099",
language = "英语",
isbn = "9781467304108",
series = "Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011",
pages = "114--121",
booktitle = "Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011",
note = "6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011 ; Conference date: 12-12-2011 Through 14-12-2011",
}