TY - JOUR
T1 - Characterizing water quality datasets through multi-dimensional knowledge graphs
T2 - a case study of the Bogota river basin
AU - Rondón Díaz, Juan D.
AU - Vilches-Blázquez, Luis M.
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2022/3/1
Y1 - 2022/3/1
N2 - 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).
AB - 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).
KW - Bogota river basin
KW - knowledge graph
KW - ontology
KW - spatio-temporal characteristics
KW - water quality
UR - http://www.scopus.com/inward/record.url?scp=85128479925&partnerID=8YFLogxK
U2 - 10.2166/hydro.2022.070
DO - 10.2166/hydro.2022.070
M3 - Artículo
AN - SCOPUS:85128479925
SN - 1464-7141
VL - 24
SP - 295
EP - 314
JO - Journal of Hydroinformatics
JF - Journal of Hydroinformatics
IS - 2
ER -