The world is transforming into a predominantly urban space, meaning that cities have to be ready to provide services, for instance, to ensure availability and sustainable management of water and sanitation for all. In this scenario, the water quality evaluation has a crucial role and often needs multiple sources segregated. Our purpose is to build bridges between these data silos to provide an integrated and interoperable view, where different datasets can be provided and combined through knowledge graphs in order to characterize water quality. This work shows the quality of the Bogota river basin's water bodies by analyzing physicochemical and biological properties using spatio-temporal and legal elements. So, our knowledge graphs allow us to discover what, when, and where infractions happened on water quality in a river basin of the most populated cities of Latin America during a critical period (2007–2013), highlighting the presence of high values of suspended solids and nitrites, lower amounts of dissolved oxygen, and the worst water quality during the driest periods (appearing until a maximum of 63 infractions in a year).

世界正在转变为一个以城市为主的空间，这意味着城市必须准备好提供服务，例如，以确保所有人的水和卫生设施的可用性和可持续管理。在这种情况下，水质评估起着至关重要的作用，并且经常需要隔离多个来源。我们的目的是在这些数据孤岛之间架起桥梁，以提供一个集成且可互操作的视图，其中可以通过知识图提供和组合不同的数据集，以表征水质。这项工作通过使用时空和法律要素分析物理化学和生物学特性，展示了波哥大河流域水体的质量。因此，我们的知识图可以让我们发现什么、什么时候、