Applications of knowledge graphs for food science and industry

W Min, C Liu, L Xu, S Jiang - Patterns, 2022 - cell.com
The deployment of various networks (eg, Internet of Things [IoT] and mobile networks),
databases (eg, nutrition tables and food compositional databases), and social media (eg …

A comprehensive survey of personal knowledge graphs

P Chakraborty, DK Sanyal - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
Abstract Information that can encapsulate a person's daily life and its different aspects
provides insightful knowledge. This knowledge can prove to be more useful than general …

[HTML][HTML] An ecosystem for personal knowledge graphs: A survey and research roadmap

MG Skjæveland, K Balog, N Bernard, W Łajewska… - AI Open, 2024 - Elsevier
This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly
defined as resources of structured information about entities related to an individual, their …

[HTML][HTML] Developing a Chatbot to Support Individuals With Neurodevelopmental Disorders: Tutorial

A Singla, R Khanna, M Kaur, K Kelm, O Zaiane… - Journal of Medical …, 2024 - jmir.org
Families of individuals with neurodevelopmental disabilities or differences (NDDs) often
struggle to find reliable health information on the web. NDDs encompass various conditions …

Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021

K Balog, P Mirza, MG Skjæveland, Z Wang - ACM SIGIR Forum, 2023 - dl.acm.org
The term personal knowledge graph (PKG) has been broadly used to refer to structured
representation of information about a given user, primarily in the form of entities that are …

Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning

R Venkataramanan, S Padhee, SR Rao… - Frontiers in Big …, 2023 - frontiersin.org
Cross-modal recipe retrieval has gained prominence due to its ability to retrieve a text
representation given an image representation and vice versa. Clustering these recipe …

KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health

C Fu, X Pan, J Wu, J Cai, Z Huang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
It is commonly known that food nutrition is closely related to human health. The complex
interactions between food nutrients and diseases, influenced by gut microbial metabolism …

Reasoning over personalized healthcare knowledge graph: a case study of patients with allergies and symptoms

A Gyrard, U Jaimini, M Gaur, S Shekharpour… - Semantic Models in IoT …, 2022 - Elsevier
Background: Current health applications (eg, Google Fit) based on devices (eg, Fitbit) often
are limited to data visualization, summarization, or statistics-based models to understand …

[PDF][PDF] A Pipeline for Population and Analysis of Personal Health Knowledge Graphs (PHKGs).

DC Bosanska, M Huptych, L Lhotská - SEMANTiCS (Posters & Demos), 2022 - ceur-ws.org
Abstract Personal Health Knowledge Graphs (PHKGs) are not yet ubiquitous, even though
they have a great potential to enrich general knowledge captured in various Knowledge …

A naturopathy knowledge graph and recommendation system to boost the immune system: KISS: Knowledge-based Immune System Suggestion

A Gyrard, K Boudaoud - Semantic Models in IoT and Ehealth Applications, 2022 - Elsevier
Because of COVID-19 worldwide pandemic, there is a need for any complementary
solutions to boost the immune system. Nowadays, healthy lifestyle, fitness, and diet habits …