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Title:
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INFORMATION INTEGRATION OF DIVERSE LABORATORY DATA SOURCES USING INFORMATION SUPPLY CHAINS |
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Author(s):
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Thomas Kandl, Nawaz Khan |
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ISBN:
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978-972-8939-49-6 |
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Editors:
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Mário Macedo |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Cooperative systems, Semantic networks, Tree data structures, Information integration. |
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Type:
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Full Paper |
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First Page:
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69 |
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Last Page:
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80 |
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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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Information integration in disciplines such as drug discovery poses major challenges, as often only data from unstructured or semi structured information sources is available and is in many cases neither semantically consistent nor in a form which can be easily extracted and shared. One of the issues at present seems to be with current frameworks is its inability to cope with diversity of sources and changing information types and hence rather seen as constraint than support. Therefore there are evidences of growing demands for information integration and information sharing in drug discovery laboratories. In this paper, we present an approach for integration of experimental data in highly diverse, semi-structured scientific domains and promoting collaboration by supplying information at the right time in the right context to the right users. The paper describes how subject oriented specific Information Supply Chains (ISC) can be established in a flexible manner to integrate required information and thereby balancing information supply and demand. We introduce the concept of ISC using a model based on Research Description Framework (RDF) and demonstrate how ISCs can help the decision process by making required information available at the time needed using a case study approach. |
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