WS-finder: A framework for similarity search of web services

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Ma, Jiangang, Sheng, Quan Z, Liao, Kewen, Zhang, Yanchun and Ngu, Anne H. H (2012) WS-finder: A framework for similarity search of web services. In: Service-oriented computing : 10th International Conference, ICSOC 2012, Shanghai, China, November 12-15 2012, proceedings. Liu, Chengfei, Ludwig, Heiko, Toumani, Farouk and Yu, Qi, eds. Lecture Notes in Computer Science (7759). Springer, Heidelberg, Germany, pp. 313-327.

Abstract

Most existing Web service search engines employ keyword search over databases, which computes the distance between the query and the Web services over a fixed set of features. Such an approach often results in incompleteness of search results. The Earth Mover’s Distance (EMD) has been successfully used in multimedia databases due to its ability to capture the differences between two distributions. However, calculating EMD is computationally intensive. In this paper, we present a novel framework called WS-Finder, which improves the existing keyword-based search techniques for Web services. In particular, we employ EMD for many-to-many partial matching between the contents of the query and the service attributes. We also develop a generalized minimization lower bound as a new EMD filter for partial matching. This new EMD filter is then combined to a k-NN algorithm for producing complete top-k search results. Furthermore, we theoretically and empirically show that WS-Finder is able to produce query answers effectively and efficiently.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/22140
DOI 10.1007/978-3-642-34321-6_21
Official URL http://download.springer.com/static/pdf/123/chp%25...
ISBN 9783642343209 (print), 9783642343216 (online)
Subjects Historical > FOR Classification > 0807 Library and Information Studies
Current > Division/Research > College of Science and Engineering
Keywords ResPubID25905, software engineering, computer communication networks, information systems applications, information storage, information retrieval, business information systems, BIS, Earth Mover’s Distance
Citations in Scopus 16 - View on Scopus
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