Simple Summary Cancer is a complex phenomenon and cancer research is increasingly
data-rich. Representing this knowledge in a manner that is both human and computer …

Background Many important clinical decisions require causal knowledge (CK) to take action.
Although many causal knowledge bases for medicine have been constructed, a …

Objective Automated analysis of vaccine postmarketing surveillance narrative reports is
important to understand the progression of rare but severe vaccine adverse events (AEs) …

Temporal relation extraction between health-related events is a widely studied task in
clinical Natural Language Processing (NLP). The current state-of-the-art methods mostly rely …

Objective To propose a paradigm for a scalable time-aware clinical data search, and to
describe the design, implementation and use of a search engine realizing this paradigm …

This study focused on the construction of a spatiotemporal knowledge graph for ship
activities. First, a ship activity ontology model was proposed to describe the entities and …

Objective Social determinants of health (SDoH) play critical roles in health outcomes and
well-being. Understanding the interplay of SDoH and health outcomes is critical to reducing …

Objectives: To select, present, and summarize the most relevant papers published in 2020
and 2021 in the field of Knowledge Representation and Knowledge Management, Medical …

Objective Identifying the time of SARS-CoV-2 viral infection relative to specific gestational
weeks is critical for delineating the role of viral infection timing in adverse pregnancy …

The application of semantic web technologies such as semantic inference to the field of the
internet of things (IoT) can realize data semantic information enhancement and semantic …