NDLI: Web service selection based on QoS using tModel working on feed forward network

Content Provider	IEEE Xplore Digital Library
Author	Karande, A.M. Kalbande, D.R.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Eng., Sardar Patel Inst. of Technol., Mumbai, India (Karande, A.M.; Kalbande, D.R.)
Abstract	This paper address the selection of web services using tmodel of SOA which is designed using feed forward network. This construction will be done using XML language. Ontology provides a terminology about concepts and their relationships within a domain along with the activities taking place in that domain, and the theories, elementary principles governing that domain. Using supervised learning method of feed forward neural network, ontologies of different domain can be matched. Feed forward neural network can be used for pattern matching with back propagation techniques. Pattern defined here will be quality parameter. This quality parameter can be selected using tModel structure of UDDI. Web service Provider present in UDDI can differentiate services using Quality categorization by labeling the qualities i.e. performance, security. This differentiation be done using QoS ontology for service Identification. The registered service descriptions by the service provider contain the semantic profile and QoS parameters. ANN matching model consists of training phase and matching phase based on ontology domain.
Sponsorship	IEEE Delhi Sect.
Starting Page	29
Ending Page	33
File Size	591954
Page Count	5
File Format	PDF
e-ISBN	9781479929009
DOI	10.1109/ICICICT.2014.6781247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	QoS Neurons Service: oriented architecture Quality of service Artificial neural networks Web service repository builder Ontologies Service-oriented architecture Feeds Reliability Feedforward neural network TModel
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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