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Title:
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INTEGRATING WEB-BASED MEDICAL DATA SETS FOR MEDICAL RESEARCH |
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Author(s):
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Chima Adiele , Sylvanus A. Ehikioya |
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ISBN:
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972-98947-5-2 |
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Editors:
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Pedro Isaías, Piet Kommers and Maggie McPherson |
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Year:
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2004 |
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Edition:
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1 |
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Keywords:
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Medical data sets, Data integration, Formal ontology, Graph-based algorithm, Formal specification. |
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Type:
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Full Paper |
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First Page:
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484 |
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Last Page:
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491 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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A broad spectrum of medical data is transferred and exchanged in large volumes on the Web. Medical data that must be
combined to produce the desired information needed by stakeholders in the health care sector including patients, hospital
administrators, medical practitioners and researchers, policy formulators, etc. often reside in heterogeneous data sources.
However, access to the large volume of disparate medical data is becoming increasingly difficult, as determining
semantically equivalent data remains a major problem in accessing data distributed over the Web. Data integration
aggregates medical data from diverse data sources into a cohesive, coherent, and global medical data set. Unfortunately,
data integration remains a complex process that requires significant user participation despite recent advances in
technology. In this paper, we describe the nature of medical data sets and provide a motivating example that brings to
focus the data management needs of such data. We provide an integration algorithm that leverages a formal ontology and
semistructured data model to dynamically integrate medical data sets. |
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