Cloud computing platform for national scientific data sharing of population and health
Paper
Paper/Presentation Title | Cloud computing platform for national scientific data sharing of population and health |
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Presentation Type | Paper |
Authors | Su, Ying (Author), Yin, Ling (Author) and Al-Hakim, Latif (Author) |
Journal or Proceedings Title | Proceedings of the 2nd ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering |
Number of Pages | 4 |
Year | 2010 |
Place of Publication | Hong Kong |
ISBN | 9789881824216 |
Web Address (URL) of Paper | http://www.etp-conference.org/acc2010/ |
Conference/Event | 2nd ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering |
Event Details | 2nd ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering Event Date 17 to end of 18 Apr 2010 Event Location Shenzhen, China |
Abstract | This paper presents a novel information sharing framework based on SQL Server Data Services (SSDS) for service registry and repository that facilitates data integration. A SSDS is a service-oriented architecture composed with reusable services to support searching, querying, deleting, and storing data. SSDS can be easily changed or maintained by reusing different services. Thus, it can be used to share information in the cloud. The Information Sharing System (ISS) component of the SSDS employs domain ontology to share data sources. The domain ontology utilizes mathematical equivalence relations to map data sources into appropriate domain ontology. Our implementation is based on a real application, the National Scientific Data Sharing of Population and Health. |
Keywords | cloud computing, information sharing, scientific data |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Institute of Scientific and Technical Information of China, China |
People's Liberation Army General Hospital and Medical School, China |
https://research.usq.edu.au/item/q03x0/cloud-computing-platform-for-national-scientific-data-sharing-of-population-and-health
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