Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Big data analysis has found applications in many industries due to its ability to turn huge
amounts of data into insights for informed business and operational decisions. Advanced …

Abstract The Human Disease Ontology (DO)(www. disease-ontology. org) database, has
significantly expanded the disease content and enhanced our userbase and website since …

Motivation Creating knowledge bases and ontologies is a time consuming task that relies on
manual curation. AI/NLP approaches can assist expert curators in populating these …

Semantic embedding of knowledge graphs has been widely studied and used for prediction
and statistical analysis tasks across various domains such as Natural Language Processing …

The proliferation of recipes and other food information on the Web presents an opportunity
for discovering and organizing diet-related knowledge into a knowledge graph. Currently …

Background Social prescription programs represent a viable solution to linking primary care
patients to nonmedical community resources for improving patient well-being. However …

Abstract Motivation Knowledge graphs (KGs) are being adopted in industry, commerce and
academia. Biomedical KG presents a challenge due to the complexity, size and …

Intense recent interest in understanding how the human gut microbiome influences health
has kindled a concomitant interest in linking dietary choices to microbiome variation. Diet is …

Automating ontology construction and curation is an important but challenging task in
knowledge engineering and artificial intelligence. Prediction by machine learning …