Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/153842
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 Computer Healthcare Information System Heterogeneous Population Information System scalable SOAP Web |
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 |
Pagination: | |
URI: | http://hdl.handle.net/10603/153842 |
Appears in Departments: | Institute of Technology |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 107.54 kB | Adobe PDF | View/Open |
02_certificate.pdf | 146.51 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 47.72 kB | Adobe PDF | View/Open | |
04_declaration.pdf | 147.63 kB | Adobe PDF | View/Open | |
05_acknowledgement.pdf | 46.38 kB | Adobe PDF | View/Open | |
06_contents.pdf | 54.41 kB | Adobe PDF | View/Open | |
07_list_of_tables.pdf | 46.53 kB | Adobe PDF | View/Open | |
08_list_of_figures.pdf | 49.01 kB | Adobe PDF | View/Open | |
09_abbreviations.pdf | 48.2 kB | Adobe PDF | View/Open | |
10_chapter1.pdf | 122.81 kB | Adobe PDF | View/Open | |
11_chapter2.pdf | 403.3 kB | Adobe PDF | View/Open | |
12_chapter3.pdf | 94.93 kB | Adobe PDF | View/Open | |
13_chapter4.pdf | 508.79 kB | Adobe PDF | View/Open | |
14_chapter5.pdf | 1.39 MB | Adobe PDF | View/Open | |
15_chapter6.pdf | 586.25 kB | Adobe PDF | View/Open | |
16_chapter7.pdf | 51.98 kB | Adobe PDF | View/Open | |
17_conclusion.pdf | 51.98 kB | Adobe PDF | View/Open | |
18_summary.pdf | 51.98 kB | Adobe PDF | View/Open | |
19_bibliography.pdf | 100.75 kB | Adobe PDF | View/Open |
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