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.

翻译：近年来，对水资源与健康资源管理的关注度持续上升。这一趋势源于人类面临的全球可持续发展挑战，其中水资源短缺与水质问题居于核心地位。因此，在联合国设定的清洁用水与环境卫生可持续发展目标这一宏观背景下，有效、有意义且开放的数据可得性对于应对这些挑战至关重要。本文介绍了水资源健康开放知识图谱（WHOW-KG）及其设计方法论与影响分析。WHOW-KG是一个语义知识图谱，对水资源消耗、污染、传染病发病率及药物分配等数据进行建模。该知识图谱在欧盟资助的WHOW（Water Health Open Knowledge）项目框架下开发，旨在支持从知识发现到决策制定的广泛应用程序，为水资源与健康领域的研究人员、政策制定者及实践者提供宝贵资源。WHOW-KG由五个本体网络及其对应的关联开放数据构成，这些数据均根据该本体体系进行建模。