94 citations · 172 across the 22 of their papers we have counts for
14 papers · 1 filter
Reviving our data foundations is the most disruptive step to data maturity
Valentina Carapella, Ernesto Jimenez-Ruiz
The most disruptive step that enterprises of small-medium size and maturity can take to make the most of the latest technological advances in AI is to step back from the hype and f…
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
Jiaoyan Chen, Hang Dong, Janna Hastings +6
The term life sciences refers to the disciplines that study living organisms and life processes, and include chemistry, biology, medicine, and a range of other related disciplines.…
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni +1
NeSy4VRD is a multifaceted resource designed to support the development of neurosymbolic AI (NeSy) research. NeSy4VRD re-establishes public access to the images of the VRD dataset…
Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
Yuan He, Jiaoyan Chen, Hang Dong +3
Ontology Matching (OM) plays an important role in many domains such as bioinformatics and the Semantic Web, and its research is becoming increasingly popular, especially with the a…
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen +2
We have created a knowledge graph based on major data sources used in ecotoxicological risk assessment. We have applied this knowledge graph to an important task in risk assessment…
OWL2Vec*: Embedding of OWL Ontologies
Jiaoyan Chen, Pan Hu, Ernesto Jimenez-Ruiz +3
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 and…