  Recently, an increasing interest in the management of water and health
resources has been recorded. This interest is fed by the global sustainability
challenges posed to the humanity that have water scarcity and quality at their
core. Thus, the availability of effective, meaningful and open data is crucial
to address those issues in the broader context of the Sustainable Development
Goals of clean water and sanitation as targeted by the United Nations. In this
paper, we present the Water Health Open Knowledge Graph (WHOW-KG) along with
its design methodology and analysis on impact. WHOW-KG is a semantic knowledge
graph that models data on water consumption, pollution, infectious disease
rates and drug distribution. The WHOW-KG is developed in the context of the
EU-funded WHOW (Water Health Open Knowledge) project and aims at supporting a
wide range of applications: from knowledge discovery to decision-making, making
it a valuable resource for researchers, policymakers, and practitioners in the
water and health domains. The WHOW-KG consists of a network of five ontologies
and related linked open data, modelled according to those ontologies.
