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 …

Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the
collective management of evolving knowledge. The present work aims to provide an …

Ontology-mediated query answering is an extensively studied paradigm, where the
conceptual knowledge provided by an ontology is leveraged towards more enhanced …

Data trees, typically encoded in JSON, are ubiquitous in data-driven applications. This
ubiquity makes urgent the development of novel techniques for querying heterogeneous …

Abstract Knowledge graphs (KGs) have achieved great success in many real applications,
and great efforts have been dedicated to constructing larger knowledge graphs. An obvious …

Inconsistency-tolerant semantics have been proposed to provide meaningful query answers
even in the presence of inconsistent knowledge. Recently, explainability has also become a …

In the last decade, there has been a growing interest in applying AI technologies to
implement complex data analytics over data streams. To this end, researchers in various …

Sequential problems are ubiquitous in AI, such as in reinforcement learning or natural
language processing. State-of-the-art deep sequential models, like transformers, excel in …

Ontology-mediated query answering (OMQA) emerged as a paradigm to enhance querying
of data sources with an ontology that encodes background knowledge. In applications …

Consistent query answering (CQA) is a widely accepted paradigm for querying inconsistent
knowledge bases (KBs). A consistent answer to a query is a tuple that is an answer to the …