Applications of knowledge graphs for food science and industry

Min, Weiqing; Li, Chunlin; Xu, Leyi; Jiang, Shuqiang

doi:10.1016/j.patter.2022.100484

Cited by 43 publications

(19 citation statements)

References 118 publications

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“…Moreover, a semantic resource includes a formalization of the knowledge of the biological and technological processes involved in food fermentation, thus bridging information from very different fields of chemical reactions determining the transformation of raw ingredients to food bioactives, enzymes involved in those reactions, and genes coding for those enzymes, as well as microbial genomes containing those genes, would further increase our ability to represent the real world. From the nutritional and computational standpoint, ontologies are the best and most appropriate instrument for this purpose, as they can categorize and make this information searchable in a coherent way [40]. Indeed, food ontologies are acquiring a central role in human nutrition, allowing us to formally describe the multi-faceted nature of the nutritional domain [41].…”

Section: Discussionmentioning

confidence: 99%

Semantics of Dairy Fermented Foods: A Microbiologist’s Perspective

Vitali

Zinno

Schifano

et al. 2022

Foods

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Food ontologies are acquiring a central role in human nutrition, providing a standardized terminology for a proper description of intervention and observational trials. In addition to bioactive molecules, several fermented foods, particularly dairy products, provide the host with live microorganisms, thus carrying potential “genetic/functional” nutrients. To date, a proper ontology to structure and formalize the concepts used to describe fermented foods is lacking. Here we describe a semantic representation of concepts revolving around what consuming fermented foods entails, both from a technological and health point of view, focusing actions on kefir and Parmigiano Reggiano, as representatives of fresh and ripened dairy products. We included concepts related to the connection of specific microbial taxa to the dairy fermentation process, demonstrating the potential of ontologies to formalize the various gene pathways involved in raw ingredient transformation, connect them to resulting metabolites, and finally to their consequences on the fermented product, including technological, health and sensory aspects. Our work marks an improvement in the ambition of creating a harmonized semantic model for integrating different aspects of modern nutritional science. Such a model, besides formalizing a multifaceted knowledge, will be pivotal for a rich annotation of data in public repositories, as a prerequisite to generalized meta-analysis.

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Section: Discussionmentioning

confidence: 99%

Semantics of Dairy Fermented Foods: A Microbiologist’s Perspective

Vitali

Zinno

Schifano

et al. 2022

Foods

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“…Only the first page (containing 10 research results) of the Google search platform was considered. In the case of "Food Ontologies" and "Food Knowledge Graphs", we used the most recent review published by Weiqing et al [23] to identify the research papers related to "Food Ontologies" and "Food Knowledge Graphs". Once retrieved, we choose some of these papers to identify elements that are comparable.…”

Section: Step 1: Knowledge Elicitationmentioning

confidence: 99%

“…As we did with epidemiological surveillance systems, knowledge that was identified from the papers downloaded and saved in transcript was reviewed and analyzed in order to identify classes, properties and relations. We used the comparison of "Food Ontologies" and "Food Knowledge Graphs" provided by Weiqing et al [23] to find additional properties. These tables were imported in the ORKG system 89 .…”

Section: Step 2: Knowledge Analysis and Interpretationmentioning

confidence: 99%

An Approach Based on Open Research Knowledge Graph for Knowledge Acquisition from Scientific Papers

Jiomekong

2023

Preprint

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“…The construction procedure of KG mainly consists of knowledge extraction, knowledge fusion, knowledge storage, knowledge representation, knowledge verification, and knowledge reasoning. A standard KG can be acquired by the way of bottom-up or top-down, as illustrated in Figure 1 (Pu et al, 2021;Min et al, 2022). Bottom-up KG is constructed by knowledge extraction, knowledge fusion, knowledge storage, knowledge representation, knowledge verification, and knowledge reasoning, while the construction of top-down KG undertakes two critical steps, i.e., ontology learning and entity learning.…”

Section: General Process Of Knowledge Graph Constructionmentioning

confidence: 99%

Application of knowledge graph in power system fault diagnosis and disposal: A critical review and perspectives

Chen

et al. 2022

Front. Energy Res.

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Knowledge graph (KG) has good knowledge expression ability and interpretation, and its application to power system fault diagnosis and disposal can effectively integrate data of the whole life cycle of equipment and form a novel knowledge-driven operation and maintenance management mode. This is crucial to assist dispatchers in fault disposal and effectively improve the power system emergency handling capability and dispatch intelligence level. This paper conducts a systematic review and summary of the application of KG in power system fault diagnosis and disposal, so as to provide an adequate and comprehensive guide for further research in this field. Firstly, the definition, status, and classification of KGs are systematically described, and the general process of KG construction is sorted out. Secondly, the basic framework, construction process, key technologies, and typical practices of KG for power system fault diagnosis and disposal are summarized and reviewed in detail. Ultimately, several challenges, opportunities, and perspectives of KG in this field are carefully presented.

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Applications of knowledge graphs for food science and industry

Cited by 43 publications

References 118 publications

Semantics of Dairy Fermented Foods: A Microbiologist’s Perspective

Semantics of Dairy Fermented Foods: A Microbiologist’s Perspective

An Approach Based on Open Research Knowledge Graph for Knowledge Acquisition from Scientific Papers

Application of knowledge graph in power system fault diagnosis and disposal: A critical review and perspectives

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