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Title:
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RISK-INFORM APPROACH: APPLYING COMPUTING TECHNIQUES IN FAVOR OF HUMAN HEALTH |
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Author(s):
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Walter C. P. Magalhães Jr., Cristiane A. Yaguinuma, Vanessa A. Magalhães, Marilde T. P. Santos |
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ISBN:
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978-972-8939-46-5 |
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Editors:
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Piet Kommers and Pedro Isaías |
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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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Human Health, Agricultural Risk Analysis, Chemical Food Safety, Data Mining, Ontology, Fuzzy Logic. |
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Type:
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Short Paper |
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First Page:
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487 |
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Last Page:
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492 |
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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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This research presents the Risk-Inform approach which is applied to chemical food safety domain in order to circumvent a problem often encountered: data with little semantic or presenting low quality that lead to results of low quality, unreliable and inadequate to the reality of analyzed domain. The data mining techniques here employed play a key role in helping government authorities and risk experts to extract higher levels of non-trivial knowledge from superior knowledge provided by the incorporation of fuzzy logic and ontology during the stage of pre-processing of laboratory tests in agricultural foods. If part of the results obtained in the data mining step were amazing, they are certainly reliable seal for appropriately pre-processed data, presenting more adequate semantics to the domain considered. These mining results complement the reality of the chemical safety of food agricultural and expand the level of expert knowledge towards the non-trivial decisions. By the other hand, if there were no proper pre-processing at the semantic level, the results, while seemingly correct, would be concealing its false basis and, therefore, would be completely wrong before the reality of global chemical safety. We believe that what makes our real case study more remarkable is that it helps to improve the human health and, by extension, save our own lives. |
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