A Study on the Appropriateness of Investment in Convertible Bonds Using DEA : Focusing on companies related to cultural contents

Yu, Jae-Pil

doi:10.5392/jkca.2023.23.02.419

Cited by 1 publication

(2 citation statements)

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“…Multiple ontologies have been developed to serve various food and nutrition domains. A few examples include tracking the food production process [21], representing nutrient-related isotopic information [22], incorporating metabolomics of nutrients [23], systematically organizing culture-specific food names [24], recommending food for global travelers [25], and representing food additives for food safety [26]. Finally, FoodOn is a comprehensive food ontology that aims to be "a farm to fork ontology," encompassing the concepts from food production to the food names in a restaurant menu [27].…”

Section: Ontologies For Food and Dietary Behaviormentioning

confidence: 99%

“…These typical Korean foods and dietary patterns are not included in the food ontology developed in Western countries, including the most comprehensive one like FoodOn. A few culture-specific diet ontologies exist, but their primary developmental goals were to demonstrate modeling domain knowledge with an ontology [33] or organizing specific food names and nutritional components [24]. Therefore, they were not extensible to incorporate dietary lifestyle concepts from different cultural contexts.…”

Section: Food Is a Cultural Conceptmentioning

confidence: 99%

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Developing a Dietary Lifestyle Ontology to Improve the Interoperability of Dietary Data: Proof-of-Concept Study (Preprint)

Kim¹,

Jung²,

Choi³

2021

Preprint

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BACKGROUND Dietary habits offer crucial information on one's health and form a considerable part of the Patient-Generated Health Data (PGHD). Dietary data are collected through various channels and formats; thus, interoperability is a significant challenge to reusing the data. The vast scope of dietary concepts and colloquial style of expression add difficulty to the standardization task. Common Data Elements (CDE) with metadata annotation and ontological structuring of dietary concepts address the interoperability issues of dietary data to some extent. However, challenges remaining in making culture-specific dietary habits and questionnaire-based dietary assessment data interoperable require additional efforts. OBJECTIVE The main goal of this study was to address the interoperability challenge in dietary concepts by combining ontological curation of dietary concepts and metadata annotation of questionnaire-based dietary data. Specifically, this study aimed to develop a Dietary Lifestyle Ontology (DILON) and demonstrated the improved interoperability of questionnaire-based dietary data by annotating its main semantics with DILON. METHODS By analyzing 1158 dietary assessment data elements (367 in Korean and 791 in English), 515 dietary concepts were extracted and used to construct DILON. To demonstrate the utility of DILON in improving the interoperability of multi-cultural questionnaire-based dietary data, ten Competency Questions (CQs) were developed that identified data elements that share the same dietary topics and measurement qualities. As the test cases, 68 dietary habit data elements from Korean and English questionnaires were instantiated and annotated with the dietary concepts in DILON. The competency questions were translated into Semantic Query-enhanced Web Rule Language (SQWRL), and the query results were reviewed for accuracy. RESULTS DILON was built with 260 concept classes and 486 instances and successfully validated with ontology validation tools. A small overlap (72 concepts) in the concepts extracted from the questionnaires in two languages indicates the need to pay closer attention to representing culture-specific dietary concepts. The SQWRL queries reflecting the 10 CQs yielded the correct results. CONCLUSIONS Ensuring the interoperability of dietary lifestyle data is a demanding task due to its vast scope and variations in expression. This study demonstrated that, when combined with common data elements and semantic metadata annotation, ontology can effectively mediate the interoperability of dietary data generated in different cultural contexts and expressed in various styles.

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