Volume 9 Number 5 (May 2014)
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JSW 2014 Vol.9(5): 1302-1312 ISSN: 1796-217X
doi: 10.4304/jsw.9.5.1302-1312

An Ontological Model for Indigenous Knowledge of Malay Confinement Dietary

Haryani Haron, M. Hamiz
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

Abstract—Science and technology are intimately linked to the studies and expansion in the general progression of the society. However, Indigenous Knowledge (IK) which holds the same weight-age as the development of the society with science seems to be forgotten and it leads to its extinction. IK is a tacit, scattered and unorganized knowledge that being used by the people in certain environments in making their living such as health, spiritual and agriculture. Hence, this research intends to gather, structure and model Malay indigenous health knowledge with scope focuses on the Malay confinement dietary. This qualitative interpretive research is using a sampling of the purposive method in order to gather the data through the interviews with Malay traditional midwives, gynecologist and dietician. Then, the conceptual analysis is used to structure the unorganized data from the interviews. The ontological model is then developed and it is divided into five main classes which are the food, food pyramid, restriction, nutrient deficiency, and reason. The classes will be linked to each other through object properties of isEnhance, hasReason, hasRestriction and hasLevel. The web prototype is developed in Eclipse by using J2EE library integrated with Jena framework. This research contributes on modeling Malay confinement dietary into ontological model besides discovering the relationship indirectly between the scientific towards practicing of Malay confinement dietary.

Index Terms—ontology, indigenous, knowledge, Malay, confinement, dietary

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Cite: Haryani Haron, M. Hamiz, "An Ontological Model for Indigenous Knowledge of Malay Confinement Dietary," Journal of Software vol. 9, no. 5, pp. 1302-1312, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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