An ontology-based spatial data harmonisation for urban analytics

Urban Analytics Data Infrastructure: Critical SDI for Measuring and Monitoring The National and Local Progress of SDGs

“…Accordingly, the global framework was adopted by the UN General Assembly on 6 th July 2017. This framework is part of the Resolution adopted by the General Assembly on work of the Statistical Commission pertaining to the 2030 Agenda for Sustainable Development 1 .…”

“…residential/commercial built-up area per capita, and publicly available open space per capita) in local authorities across Metropolitan Melbourne. The infrastructure developed a new ontological framework [1] and a dictionary to underpin the next generation of data driven modeling and decision-support tools to enable smart, sustainable, productive, and resilient cities.…”

“…As an example, one of the upper-level ontologies developed in UADI is for Austrian Statistical Geography Standard (ASGS), which determines the relationships of statistical and administrative geographical boundaries across Australia (Figure 15.2). Furthermore, using METHONTOLOGY [1], a number of application ontologies for urban density and urban accessibility measurements were developed.…”

“…In addition to the definition of concepts, their relationships are also defined by ontology in the UADI. Therefore, the mapping between any data and its attribute in a dataset to one or many concepts within the ontology can be used to describe the dataset for discovery, and also data integration purposes [1].…”

“…These services can then be registered using their metadata and via the data catalogue component in the UADI. This infrastructure is a smart technology that can be used to generate indicators for decision makers, such as urban density [1] and accessibility [10]. For this purpose, the UADI encapsulates and registers each indicator tool as a Web Processing Service (WPS) [11] endpoint, which can then be executed by users with various parameters as inputs for deriving the indicators.…”