Abstract Knowledge graphs have gained increasing popularity in the last decade in science
and technology. However, knowledge graphs are currently relatively simple to moderate …

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. Research …

Knowledge engineering is a discipline that focuses on the creation and maintenance of
processes that generate and apply knowledge. Traditionally, knowledge engineering …

Abstract Knowledge representation (KR) is vital in designing symbolic notations to represent
real-world facts and facilitate automated decision-making tasks. Knowledge graphs (KGs) …

Ensuring quality and reliability mandates thorough software testing at every stage of the
development cycle. As software systems grow in size, complexity, and functionality, the …

The overall AI trend of creating neuro-symbolic systems is reflected in the Semantic Web
community with an increased interest in the development of systems that rely on both …

Knowledge graphs, as understood within the Semantic Web and Knowledge Representation
communities, are more than just graph data. OWL-based knowledge graphs offer the …

The ecology of thermoplastic materials is rapidly evolving, enabling an exciting landscape of
functional, aesthetic, and interactive forms. Despite their utility in fused filament fabrication …

In line with the general trend in artificial intelligence research to create intelligent systems
that combine learning and symbolic techniques (aka neuro-symbolic systems), a new sub …

Abstract With the Machine Learning (ML) field rapidly evolving, ML pipelines continuously
grow in numbers, complexity and components. Online platforms (eg, OpenML, Kaggle) aim …