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DEBII Candidacy Presentation by Mr. Jamshaid Ashraf

Digital Ecosystem and Business intelligence (DEBII)Institute
 

PhD candidacy
A Semantic Framework for Healthcare Knowledge Integration

Mr. Jamshaid Ashraf

Supervisor: Dr. Maja Hadzic
Co-Supervisor: Dr. Pornpit Wongthongtham
Chairperson: Dr Omar Hussain

Venue and Time

Date: Friday, 16 April 2010
Time: 11:00 AM-1:00 PM (GMT+08:00) Perth
Location: Meeting room, Enterprise Unit 4 DEBI Institute, Technology Park, Bentley
 

Abstract

Business Applications in any complex domain such as healthcare, telecommunication, finance, etc usually consist of several applications that generate data of different types and models. The data produced by such applications are often stored in separate databases, hence, creating isolated islands of data in silos. Data integration is required to make sense of such data. Traditional approaches for data integration such as Data Warehouse (data translation) and Federated database (query translation), only addresses the syntactical heterogeneity. However, these approaches do not address the semantic heterogeneity, which remains a major barrier in having seamless data integration between distributed heterogeneous data sources.
Semantic Web has been studied and explored by various researchers to address problems such as interoperability, semantic data integration, smart search, contextualized information and access to federated data sources, etc. Semantic Web transforms the web into a global information space by interlinking autonomous data sources and knowledge base and hence has the capability to address the issues of semantic heterogeneity with the help of ontologies.
In this research, such aspects of semantic web will be utilized and a semantic framework will be developed to enable data integration across different information sources in the domain of healthcare. The proposed framework will help in addressing semantic heterogeneity issues in data integration by employing ontologies and using technologies such as RDF, RDF-S, OWL, and Interlinking with Linked Open Data (LOD) cloud (based on semantic similarity). Browsing interface will be developed to allow healthcare professionals access the information from different sources against their queries. Use cases such as Search, Browse and Visualize will be used to evaluate the effectiveness of implemented framework in a healthcare corporate setting.

 

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