Anne H.H. Ngu
Quan Z. Sheng
Lina Yao
ABSTRACT
Finding relevant Web services and composing them into value-added applications is becoming increasingly important in cloud and service based marketplaces. The key problem with current approaches to finding relevant Web services is that most of them only provide searches over a discrete set of features using exact keyword matching. We demonstrate in this paper that by utilizing well known indexing scheme such as inverted file and R-tree indexes over Web services attributes, the Earth Mover's Distance (EMD) algorithm can be used efficiently to find partial matches between a query and a database of Web services.
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Digital Library
- Y.Liu,A.H.Ngu,andL.Zeng.QoSComputationand Policing in Dynamic Web Service Selection. In Proc. of the 13th Intl. World Wide Web Conf. (WWW), 2004. Google ScholarDigital Library
- J. Ma, Q. Z. Sheng, K. Liao, Y. Zhang, and A. H. Ngu. WS-Finder: A Framework for Similarity Search of Web Services. In Proc. of the 10th Intl. Conf. on Service Oriented Computing (ICSOC), 2012. Google ScholarDigital Library
- Y. Rubner, C. Tomasi, and L. Guibas. The Earth Mover's Distance as a Metric for Image Retrieval. Intl. Journal of Computer Vision, 40(2):99--121, 2000. Google ScholarDigital Library
- J.Wu,L.Chen,Y.Xie,andZ.Zheng.Titan:A System for Effective Web Service Discovery. In Proc. of the 21st Intl. World Wide Web Conf. (WWW), 2012. Google ScholarDigital Library
- Y. Zhang, Z. Zheng, and M. Lyu. WSExpress: A QoS-aware Search Engine for Web Services. In Proc. of IEEE Intl. Conf. on Web Services (ICWS), 2010. Google ScholarDigital Library
Index Terms
- ServiceXplorer: a similarity-based web service search engine
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