The Water Health Open Knowledge Graph
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 2 of its 74 references that are in the map. First posted on arXiv 18 May 2023.
Builds on
2 of 74 references.
References · 2
- 2020The Landscape of Ontology Reuse Approachescited by 7
- 2019Pattern-based design applied to cultural heritage knowledge graphscited by 3
Built on by
Citing papers per year: 2025: 3; 2026: 2.
5 papers.
- 2025Assessing the Capability of Large Language Models for Domain-Specific Ontology Generationcited by 7
- 2025Bench4KE: Benchmarking Automated Competency Question Generationcited by 3
- 2025Large Language Models Assisting Ontology Evaluationcited by 2
- 2026Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphscited by 1
- 2026The Climate Change Knowledge Graph: Supporting Climate Servicescited by 0
- 2026The Climate Change Knowledge Graph: Supporting Climate Services23 Feb 2026
- 2026Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs16 Feb 2026
- 2025Large Language Models Assisting Ontology Evaluation19 Jul 2025
- 2025Bench4KE: Benchmarking Automated Competency Question Generation30 May 2025
- 2025Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation24 Apr 2025