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Title: Approaches for Discovery Selection and Composition for Heterogeneous Web services using Semantic Web
Researcher: Modi Kiritkumar J
Guide(s): Garg Sanjay
Keywords: cloud computing
Healthcare Information System
Population Information System
University: Nirma University
Completed Date: 20/10/2016
Abstract: A significant amount of research has been progressing to discover, select and compose heterogeneous newlineWeb services, including, SOAP, RESTful and Cloud services to fulfill the user newlinerequest due to the availability and wide acceptance of the Web services. Use of Semantic newlineWeb plays a key role to make the service discovery, selection and composition, dynamic newlineand automated by reducing the intervention of the end user. Traditional SOAP services increases newlineXML processing overhead at the description and communication level. This issue newlinecould be resolved by RESTful services, which are based on the REST (REpresentational newlineState Transfer) architecture, which makes it more suitable compared to the SOAP services. newlineMeanwhile, cloud services has gained the importance because the cloud computing provides newlinean efficient, on-demand and scalable platform to integrate the resources over theWeb newlinefrom the multiple sources. newlineVery few efforts have been made to develop solutions to perform the service discovery, newlineselection and composition processes in an integrated manner using the Semantic Web. newlineAn integrated approach for service discovery, selection and composition using the domain newlineontology and QoS support for SOAP services has been proposed by me. I have developed newlinea prototype for the Healthcare Information System (HIS) using the proposed approach of newlineSOAP service. For the RESTful services, to perform the service discovery, selection and newlinecomposition, Linked Open Data-based approach has been proposed by me by considering newlinethe QoS parameters (i.e., throughput and response time) and semantic description(i.e. RDF newlinedata). Prototypes for the Population Information System(PIS) and Healthcare Recommendation newlineSystem(HRS) have been developed to demonstrate the effectiveness of the proposed newlinework. I have proposed framework and approaches to perform the cloud service discovery, newlineselection and composition using cloud ontology. Based on the proposed framework, newlinev newlinethe prototype for Healthcare Decision Making System (HDMS) is developed by me. The newlineexperimental results sho
Appears in Departments:Institute of Technology

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02_certificate.pdf146.51 kBAdobe PDFView/Open
03_abstract.pdf47.72 kBAdobe PDFView/Open
04_declaration.pdf147.63 kBAdobe PDFView/Open
05_acknowledgement.pdf46.38 kBAdobe PDFView/Open
06_contents.pdf54.41 kBAdobe PDFView/Open
07_list_of_tables.pdf46.53 kBAdobe PDFView/Open
08_list_of_figures.pdf49.01 kBAdobe PDFView/Open
09_abbreviations.pdf48.2 kBAdobe PDFView/Open
10_chapter1.pdf122.81 kBAdobe PDFView/Open
11_chapter2.pdf403.3 kBAdobe PDFView/Open
12_chapter3.pdf94.93 kBAdobe PDFView/Open
13_chapter4.pdf508.79 kBAdobe PDFView/Open
14_chapter5.pdf1.39 MBAdobe PDFView/Open
15_chapter6.pdf586.25 kBAdobe PDFView/Open
16_chapter7.pdf51.98 kBAdobe PDFView/Open
17_conclusion.pdf51.98 kBAdobe PDFView/Open
18_summary.pdf51.98 kBAdobe PDFView/Open
19_bibliography.pdf100.75 kBAdobe PDFView/Open
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