From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards

摘要

In the context of Smart Cities, indicator definitions have been used tocalculate values that enable the comparison among different cities. Thecalculation of an indicator values has challenges as the calculation may needto combine some aspects of quality while addressing different levels ofabstraction. Knowledge graphs (KGs) have been used successfully to supportflexible representation, which can support improved understanding and dataanalysis in similar settings. This paper presents an operational descriptionfor a city KG, an indicator ontology that support indicator discovery and datavisualization and an application capable of performing metadata analysis toautomatically build and display dashboards according to discovered indicators.We describe our implementation in an urban mobility setting.