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A knowledge map based composite services model and its application in WSG-based services discovery
List of Titles
A knowledge map based composite services model and its application in WSG-based services discovery
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/43171
- Title
- A knowledge map based composite services model and its application in WSG-based services discovery
- Author(s)
- Liu, Jie; Liu, Jianxun; Chao, Lian; Chen, Jinjun
- Abstract
- As the number of Web services grows exponentially, it is necessary to improve the efficiency of services discovery. The WSG-based service discovery method uses semantic relationships among Web services to discover a composite service as a whole. It has been shown from the existing simulated experiments that the method can largely improve Web service discovery efficiency. However, the encapsulation of multiple composite web services and transportation of it from UDDI center to a client as well as visualization of composite web services at client side for selection are still problems that should be solved to achieve a practical WSG-based service discovery. This paper proposes a knowledge-map-based method to solve these problems. It is a supplementary to WSG-based services discovery theory.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies
- Source
- Proceedings of the 3rd International Conference on Semantics, Knowledge and Grid (SKG), Xi'an, China, 29-31 October 2007, pp. 592-593
- Publication year
- 2007
- Keyword(s)
- Composite services model; Data mining; Knowledge map; Service encapsulation; Service transportation; Web services; WSG-based services discovery
- Publisher
- IEEE
- ISBN
- 9780769530079, 0769530079
- Publisher URL
- http://dx.doi.org/10.1109/SKG.2007.55
- Copyright
- Copyright © 2007 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
- Full text

- Peer reviewed


