NDLI: Web service filtering and visualization with context aware similarity to bootstrap clustering

Content Provider	IEEE Xplore Digital Library
Author	Kumara, B.T.G.S. Paik, I. Ohashi, H. Yaguchi, Y.
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Univ. of Aizu, Aizu-Wakamatsu, Japan (Kumara, B.T.G.S.; Paik, I.; Ohashi, H.; Yaguchi, Y.)
Abstract	Web service clustering is an efficient approach to address some challenges in service computing area such as discovering and recommending. To cluster the Web services, we need to filter the similar services. Key operation of filtering process is measuring the similarity of services. There are several methods used in current similarity calculation approaches such as keyword, information retrieval, ontology and hybrid methods. However, these approaches do not consider the context when measuring the similarity. So these approaches failed to capture the semantic of terms, which exist under a certain domain. In this paper, we propose context aware similarity method, which uses search results from search engines and support vector machine. Then, we apply Associated Keyword Space (ASKS) algorithm which is effective for noisy data and projected results from a three-dimensional (3D) sphere to a two dimensional (2D) spherical surface for 2D visualization to filter the services. Experimental results show our filtering approach is able to filter services based on domain and plot the result on sphere. Also our approach performs better than the existing approaches. Further, our approach aids to search Web services by visualization of the service data on a spherical surface.
Starting Page	220
Ending Page	226
File Size	726176
Page Count	7
File Format	PDF
ISBN	9781479923649
DOI	10.1109/ICAwST.2013.6765437
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-02
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Web services ASKS Amplitude shift keying Semantics Feature extraction Information filtering Web service clustering Context aware service similarity
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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