Semantic Service Integration & Metropolitan Medical Network

A Thesis Submitted to the Faculty of Indiana University by Nikeshbhai Patel in Partial Fulfillment of the Requirements for the Degree of Master of Science, August 2005 === Patel, Nikeshbhai. M.S., Purdue University, August, 2005. Semantic Service Integration & Metropolitan Medical Network. Majo...

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Main Author: Patel, Nikeshbhai
Format: Others
Language:en_US
Published: 2005
Subjects:
Online Access:http://hdl.handle.net/1805/379
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spelling ndltd-IUPUI-oai-scholarworks.iupui.edu-1805-3792019-05-10T15:20:46Z Semantic Service Integration & Metropolitan Medical Network Patel, Nikeshbhai Semantic Service Integration Medical Network A Thesis Submitted to the Faculty of Indiana University by Nikeshbhai Patel in Partial Fulfillment of the Requirements for the Degree of Master of Science, August 2005 Patel, Nikeshbhai. M.S., Purdue University, August, 2005. Semantic Service Integration & Metropolitan Medical Network. Major Professor: Dr. Chung-Kuo Chang. Medical health partners use heterogeneous data formats, legacy software and strictly licensed vocabularies which make it hard to integrate their data and work. Integration of services and data are the two main necessities. The current architecture used provides partial solution by providing one-to-one mapping wrappers. This thesis provides discussion on difficulties encountered by the coexistence of so many medical vocabularies and efforts to provide interoperation. Also other problems are listed which hinders the interoperation between health partners. Solution is proposed for some of these problems by forming semantic network based on multi-agent technology. Service composition and integration stages are shown to develop future advance health services. Middle layer is implemented which performs integration and provides common platform for sharing information, using global ontology and local domain ontology. Inferencebased matchmaking algorithm proposed in this thesis helps in mapping and achieving our goal. Six different filtering techniques are selected and used in matchmaking algorithm. Analysis of these filtering techniques is provided to understand the integration process. In the ending section an abstract idea is proposed on basis of network architecture and matchmaking algorithm to develop Open Terminological System. 2005-09-07T20:20:02Z 2005-09-07T20:20:02Z 2005-08 Thesis http://hdl.handle.net/1805/379 en_US 786025 bytes application/pdf
collection NDLTD
language en_US
format Others
sources NDLTD
topic Semantic Service Integration
Medical Network
spellingShingle Semantic Service Integration
Medical Network
Patel, Nikeshbhai
Semantic Service Integration & Metropolitan Medical Network
description A Thesis Submitted to the Faculty of Indiana University by Nikeshbhai Patel in Partial Fulfillment of the Requirements for the Degree of Master of Science, August 2005 === Patel, Nikeshbhai. M.S., Purdue University, August, 2005. Semantic Service Integration & Metropolitan Medical Network. Major Professor: Dr. Chung-Kuo Chang. Medical health partners use heterogeneous data formats, legacy software and strictly licensed vocabularies which make it hard to integrate their data and work. Integration of services and data are the two main necessities. The current architecture used provides partial solution by providing one-to-one mapping wrappers. This thesis provides discussion on difficulties encountered by the coexistence of so many medical vocabularies and efforts to provide interoperation. Also other problems are listed which hinders the interoperation between health partners. Solution is proposed for some of these problems by forming semantic network based on multi-agent technology. Service composition and integration stages are shown to develop future advance health services. Middle layer is implemented which performs integration and provides common platform for sharing information, using global ontology and local domain ontology. Inferencebased matchmaking algorithm proposed in this thesis helps in mapping and achieving our goal. Six different filtering techniques are selected and used in matchmaking algorithm. Analysis of these filtering techniques is provided to understand the integration process. In the ending section an abstract idea is proposed on basis of network architecture and matchmaking algorithm to develop Open Terminological System.
author Patel, Nikeshbhai
author_facet Patel, Nikeshbhai
author_sort Patel, Nikeshbhai
title Semantic Service Integration & Metropolitan Medical Network
title_short Semantic Service Integration & Metropolitan Medical Network
title_full Semantic Service Integration & Metropolitan Medical Network
title_fullStr Semantic Service Integration & Metropolitan Medical Network
title_full_unstemmed Semantic Service Integration & Metropolitan Medical Network
title_sort semantic service integration & metropolitan medical network
publishDate 2005
url http://hdl.handle.net/1805/379
work_keys_str_mv AT patelnikeshbhai semanticserviceintegrationmetropolitanmedicalnetwork
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