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http://dx.doi.org/10.21288/resko.2017.11.1.21

Ontology Construction of Diet Data for Food Hygiene Informatization  

Cha, Kyung-Ae (대구대학교 멀티미디어공학전공)
Yeo, Sun-Dong ((주)웰게이트)
Yoon, Seong-Wook (대구대학교 정보통신공학과)
Hong, Won-Kee (대구대학교 멀티미디어공학전공)
Publication Information
Journal of rehabilitation welfare engineering & assistive technology / v.11, no.1, 2017 , pp. 21-27 More about this Journal
Abstract
To guarantee the effectiveness of the HACCP(Hazard analysis and critical control points) system, it is necessary to develop of an ontology-based information system that can automatically manage the large amount of HACCP records or information derived from the HACCP operation results. In this paper, we construct a food information ontology which represents the relationships between ingredients, recipe, and features of food categories. Moreover, we develop HACCP automation application adopt the ontology to verify the semantic quality of the designed ontology model by performing HACCP processes such as HACCP diet classification. We expect to contribute to develop a food hygiene information and improve the accuracy of the HACCP data through the semantic system.
Keywords
HACCP; Ontology; Food Information; XML; RDF;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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