AIJan 11, 2022

Acquisition and Representation of User Preferences Guided by an Ontology

arXiv:2201.03824v1
Originality Synthesis-oriented
AI Analysis

This work addresses food preference modeling for personal health and social life, but it is incremental as it builds on existing CP-Net and ontology methods without major breakthroughs.

The paper tackled the problem of acquiring and representing user preferences in food choices using a domain ontology in OWL2 and CP-Net formalism, with implementation in a university canteen setting, resulting in a preliminary framework that enriches preference models with domain knowledge.

Our food preferences guide our food choices and in turn affect our personal health and our social life. In this paper, we adopt an approach using a domain ontology expressed in OWL2 to support the acquisition and representation of preferences in formalism CP-Net. Specifically, we present the construction of the domain ontology and questionnaire design to acquire and represent the preferences. The acquisition and representation of preferences are implemented in the field of university canteen. Our main contribution in this preliminary work is to acquire preferences and enrich the model preferably with domain knowledge represented in the ontology.

Foundations

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