Browsing by Author "Chennagiri, A.R."

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    Automatic generation of web service composition templates using WSDL descriptions
    (2015) Sowmya, Kamath S.; Alse, S.; Prasad, P.; Chennagiri, A.R.
    Due to the extensive use and increase in the number of published web services, clustering and automatic tagging of web services to facilitate efficient discovery of web services is crucial. Discovering composite services has gained importance as there is a need for integrating web services to meet complex service requirements. In this regard, we propose a system for clustering services based on features extracted from their WSDL documents for generating service tags and then the cluster tags. Also, based on the service requirements specified by the requester, our system can identify and generate potential composite service templates. These are basically the subgraphs of the service dependency graph generated by considering only relevant services determined by matching cluster tags and service tags with the request tokens. It was seen that the search domain for service composition was significantly reduced by clustering and tagging and the system obtained meaningful and encouraging results. � Springer India 2015.
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    Automatic generation of web service composition templates using WSDL descriptions
    (Springer Verlag service@springer.de, 2015) Kamath S․, S.; Alse, S.; Prasad, P.; Chennagiri, A.R.
    Due to the extensive use and increase in the number of published web services, clustering and automatic tagging of web services to facilitate efficient discovery of web services is crucial. Discovering composite services has gained importance as there is a need for integrating web services to meet complex service requirements. In this regard, we propose a system for clustering services based on features extracted from their WSDL documents for generating service tags and then the cluster tags. Also, based on the service requirements specified by the requester, our system can identify and generate potential composite service templates. These are basically the subgraphs of the service dependency graph generated by considering only relevant services determined by matching cluster tags and service tags with the request tokens. It was seen that the search domain for service composition was significantly reduced by clustering and tagging and the system obtained meaningful and encouraging results. © Springer India 2015.