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Ontology-based knowledge acquisition for Thai ingredient substitution


Article Information

Title: Ontology-based knowledge acquisition for Thai ingredient substitution

Authors: Pimsupa Saengsupawat, Thara Angskun, Jitimon Angskun

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2014

Volume: 9

Issue: 9

Language: English

Categories

Abstract

Cooking is an important activity because food is one of the basic necessities of life. However, some ingredients are difficult to find in some seasons or some regions, therefore ingredient substitution is needed for real taste. This article presents a knowledge acquisition model for ingredient substitution by applying Thai cuisine recipe for a case study. The main purpose of this research is to substitute rare Thai ingredients using existing ingredients. The proposed model is applying the concept of domain ontology to design the entities and relations among these entities which are related to ingredient substitution in Thai cuisine recipe. In addition, a set of rule bases by Semantic Web Rule Language (SWRL) is designed and embedded into the ontology to apply for discovering the existing ingredients that can substitute the rare Thai ingredients.


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