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Bulletin of Culinary Art and Hospitality

Abstract

The development of Natural Language Processing (NLP) technology has transformed the way we analyze and understand culinary arts through a digital approach. NLP enables the transformation of empirical and sensory culinary knowledge into structured data that can be analyzed computationally. This technology opens up opportunities to explore the relationships between ingredients, techniques, and flavors in culinary arts, as well as to represent culinary reality in a more organized form. This study aims to identify how NLP can represent the relationships between ingredients, techniques, and flavors in culinary arts and their impact on the structure of culinary knowledge from an epistemological, ontological, and axiological perspective. The method used in this study is a qualitative analysis with a knowledge representation theory approach, which combines the perspectives of science and digital technology in the context of culinary culture. The theoretical framework used includes knowledge representation theory, as well as digital technology theory that touches on aspects of culture, ethics, and culinary diversity. The results of this study are expected to provide insights into the development of a more inclusive and culturally sensitive system in culinary analysis using NLP.

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