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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/36627

Title: Contextual Service Discovery using Term Expansion and Binding Coverage Analysis
Authors: Shang-Pin Ma;Ci-Wei Lan;Chia-Hsueh Li
Contributors: NTOU:Department of Computer Science and Engineering
Date: 2015-07
Issue Date: 2015-05-19T06:34:56Z
Publisher: Future Generation Computer Systems (FGCS)
Abstract: Business cloud emerges as a new solution for providing on-demand business services over Internet. Standardized service technologies drive widespread adoption of clouds and enable computation evolution towards service-oriented paradigm. While diversified cloud services are readily available today, how to discover desired services fitting into user’s context becomes a practical challenge. In this paper, we propose a Contextual Service Discovery (CSD) approach to help find out qualified services in accordance with binding context on the user side. Query descriptions and binding information are analyzed as a set of meaningful terms. We designed a term expansion mechanism to improve matchmaking performance by mitigating issues of wording bias and ambiguity. Besides, binding coverage analysis between multiple services and a given query is conducted to ensure that matched services are compatible with user’s contextual expectation. The experimental results show that the proposed approach is with better performance than other alternatives under Top-N precision and recall metrics.
Relation: 48, pp.73-81
URI: http://ntour.ntou.edu.tw/handle/987654321/36627
Appears in Collections:[資訊工程學系] 期刊論文

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