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 / 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.
| Identifer | oai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/379 |
| Date | 07 September 2005 |
| Creators | Patel, Nikeshbhai |
| Contributors | Chang, Chung-Kuo |
| Source Sets | Indiana University-Purdue University Indianapolis |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | 786025 bytes, application/pdf |
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