Geracao Automatica de Paineis de Controle para Analise de Mobilidade Urbana Utilizando Redes Complexas
This addresses the challenge for data scientists and non-expert users in urban mobility analysis by automating dashboard generation from complex network data, though it appears incremental as it builds on existing semantic and BI techniques.
The paper tackles the problem of constructing dashboards from network data by introducing SBINet, an automatic generator that uses a semantic layer with ontologies to describe data and possible metrics, enabling users without expertise in complex networks to create dashboards, resulting in facilitated stages of the dashboard construction process.
In this paper we describe an automatic generator to support the data scientist to construct, in a user-friendly way, dashboards from data represented as networks. The generator called SBINet (Semantic for Business Intelligence from Networks) has a semantic layer that, through ontologies, describes the data that represents a network as well as the possible metrics to be calculated in the network. Thus, with SBINet, the stages of the dashboard constructing process that uses complex network metrics are facilitated and can be done by users who do not necessarily know about complex networks.