Authors:
Norlia Yusof
1
;
Shahrul Azman Noah
1
and
Samirah Taufiq Wahid
2
Affiliations:
1
Faculty of Information Science and Technology and Universiti Kebangsaan Malaysia, Malaysia
;
2
Faculty of Health Sciences and Universiti Kebangsaan Malaysia, Malaysia
Keyword(s):
Design, Case-based Reasoning, Case Adaptation, Constraints, Ontology, Dietary Menu Planning.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Domain Analysis and Modeling
;
Enterprise Information Systems
;
Expert Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
Designing dietary menu planning is a complex problem-solving task. It involves several constraints and extensive common sense. Case-based reasoning (CBR) solves the complexity by storing an expert common sense in the case base. Case adaptation (CA) is important for design task using CBR since old cases are partially similar as a current one. An automatic CA mainly focused on the processing level rather than at the data level. On the other hand, semantic technology (ST) inserts the intelligence features by shifting the focus on the application code to the data. This can leverage the burden on the logical processing of adaptation engine. Ontology is a prerequisite in ST. Thus, this research proposes a computational model of design CA using an ontological approach. This paper discusses the experience we gained during the process of ontology modelling based on the OD101 method. The Malaysian food ontology was successfully developed to make the domain assumptions explicit in supporting th
e reasoning process of case adaptation for dietary menu planning recommendation.
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