Geracao Automatica de Paineis de Controle para Analise de Mobilidade Urbana Utilizando Redes Complexas

TL;DR

This paper introduces SBINet, an automatic tool that simplifies creating dashboards from network data for urban mobility analysis, making complex network metrics accessible to non-experts.

Contribution

The paper presents SBINet, a novel semantic-based generator that automates dashboard creation from network data, reducing the need for expert knowledge in complex networks.

Findings

Facilitates dashboard creation for network data without requiring network expertise

Uses ontologies to describe network data and metrics

Supports urban mobility analysis through automated visualization

Abstract

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.