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Ontological semantic integration model.
~
Marwadi, Anup Kishore.
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Ontological semantic integration model.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Ontological semantic integration model./
作者:
Marwadi, Anup Kishore.
面頁冊數:
85 p.
附註:
Adviser: Yugyung Lee.
Contained By:
Masters Abstracts International41-03.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1411524
ISBN:
0493912479
Ontological semantic integration model.
Marwadi, Anup Kishore.
Ontological semantic integration model.
- 85 p.
Adviser: Yugyung Lee.
Thesis (M.S.)--University of Missouri - Kansas City, 2002.
Existing data integration frameworks are modeled on the premise of integrating heterogeneous data into a local repository. Issues like global data access, metadata management, data reusability and knowledge sharing remain vastly unexplored. These aspects become critical in medical environments where data is needed on an ongoing basis. There is an increasing need to search, retrieve and aggregate medical concepts from different medical vocabularies and share them with various sets of researchers. Based on this idea, we have designed an ‘Ontological Semantic Integration Model’ that makes use of innovative ideas like Ontologies, Web services and XML based data models to facilitate data integration. Our framework also allows users to perform metadata management, an aspect that is gaining prominence among data integration frameworks. As a proof of concept, we have deployed the system at Mid America Heart Institute where it is highly acclaimed by medical researchers.
ISBN: 0493912479Subjects--Topical Terms:
626642
Computer Science.
Ontological semantic integration model.
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Existing data integration frameworks are modeled on the premise of integrating heterogeneous data into a local repository. Issues like global data access, metadata management, data reusability and knowledge sharing remain vastly unexplored. These aspects become critical in medical environments where data is needed on an ongoing basis. There is an increasing need to search, retrieve and aggregate medical concepts from different medical vocabularies and share them with various sets of researchers. Based on this idea, we have designed an ‘Ontological Semantic Integration Model’ that makes use of innovative ideas like Ontologies, Web services and XML based data models to facilitate data integration. Our framework also allows users to perform metadata management, an aspect that is gaining prominence among data integration frameworks. As a proof of concept, we have deployed the system at Mid America Heart Institute where it is highly acclaimed by medical researchers.
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