The Water Health Open Knowledge Graph
This provides an open data resource for researchers, policymakers, and practitioners in water and health domains, but it is incremental as it applies existing semantic modeling techniques to a new dataset.
The paper presents the Water Health Open Knowledge Graph (WHOW-KG), a semantic knowledge graph modeling data on water consumption, pollution, infectious disease rates, and drug distribution to address water and health resource management challenges, developed as part of an EU-funded project to support applications like knowledge discovery and decision-making.
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.