Clustering Web Services for Automatic Categorization

Analyzing the functionality of Web services is the basis of using Web services effectively and efficiently. The first step in such analysis of Web services is to categorize different services, which may be offered by different service providers, based on their functionalities. In this paper, we pres...

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Main Authors: LIANG, Qianhui (Althea), LI, Peipei, Hung, P., Wu, Xindong
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Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/473
http://dx.doi.org/10.1109/SCC.2009.39
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spelling sg-smu-ink.sis_research-14722011-01-22T04:34:44Z Clustering Web Services for Automatic Categorization LIANG, Qianhui (Althea) LI, Peipei Hung, P. Wu, Xindong Analyzing the functionality of Web services is the basis of using Web services effectively and efficiently. The first step in such analysis of Web services is to categorize different services, which may be offered by different service providers, based on their functionalities. In this paper, we present a clustering-based approach to Web service categorization in order to form a hierarchy of service taxonomy. Our novel clustering scheme takes into consideration not only individual factors such as input or output of service operations, but also the latent inter-relationships among the individual factors. Given a set of services that may or may not have been categorized, we adopt individual methods to handle the issue and mark out their classification labels in terms of a common (given) taxonomy, such as UNSPSC. When a new service description is published, the unclassified service is compared with the classified ones and measures of the likelihood that the new service description is belonging to each cluster are calculated. Based on this calculation, the service will be assigned to a suitable category. 2009-09-21T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/473 info:doi/10.1109/SCC.2009.39 http://dx.doi.org/10.1109/SCC.2009.39 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Inter-relationship of service attributes service taxonomy Web service categorization Web service classification Web service clustering Computer Sciences Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Inter-relationship of service attributes
service taxonomy
Web service categorization
Web service classification
Web service clustering
Computer Sciences
Databases and Information Systems
spellingShingle Inter-relationship of service attributes
service taxonomy
Web service categorization
Web service classification
Web service clustering
Computer Sciences
Databases and Information Systems
LIANG, Qianhui (Althea)
LI, Peipei
Hung, P.
Wu, Xindong
Clustering Web Services for Automatic Categorization
description Analyzing the functionality of Web services is the basis of using Web services effectively and efficiently. The first step in such analysis of Web services is to categorize different services, which may be offered by different service providers, based on their functionalities. In this paper, we present a clustering-based approach to Web service categorization in order to form a hierarchy of service taxonomy. Our novel clustering scheme takes into consideration not only individual factors such as input or output of service operations, but also the latent inter-relationships among the individual factors. Given a set of services that may or may not have been categorized, we adopt individual methods to handle the issue and mark out their classification labels in terms of a common (given) taxonomy, such as UNSPSC. When a new service description is published, the unclassified service is compared with the classified ones and measures of the likelihood that the new service description is belonging to each cluster are calculated. Based on this calculation, the service will be assigned to a suitable category.
format text
author LIANG, Qianhui (Althea)
LI, Peipei
Hung, P.
Wu, Xindong
author_facet LIANG, Qianhui (Althea)
LI, Peipei
Hung, P.
Wu, Xindong
author_sort LIANG, Qianhui (Althea)
title Clustering Web Services for Automatic Categorization
title_short Clustering Web Services for Automatic Categorization
title_full Clustering Web Services for Automatic Categorization
title_fullStr Clustering Web Services for Automatic Categorization
title_full_unstemmed Clustering Web Services for Automatic Categorization
title_sort clustering web services for automatic categorization
publisher Institutional Knowledge at Singapore Management University
publishDate 2009
url https://ink.library.smu.edu.sg/sis_research/473
http://dx.doi.org/10.1109/SCC.2009.39
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