@article{2178,
  author = {Orlando Belo, Paulo Rodrigues, Rui Barros, Helena Correia},
  title = {A Personalization System for Data Visualization Platforms},
  journal = {International Journal of Computational Linguistics Research },
  year = {2016},
  volume = {7},
  number = {4},
  doi = {},
  url = {http://www.dline.info/jcl/fulltext/v7n4/jclv7n4_1.pdf},
  abstract = {Today dashboards are a clear factor of differentiation for decision-makers, 
providing critical business indicators in useful time. They are very important 
data visualization mechanisms, simple to interpret, easy to deal, and fast on 
showing pertinent data. Dashboards provide means for reducing time of information 
analysis, disposing business indicators in quite understandable and attractive 
interface platforms – not the ability to evolve, to adapt by themselves to new 
user needs, tendencies or preferences. In order to provide such abilities, we 
designed and implemented a personalization system for data visualization platforms. 
All system’s services, ranging from data gathering to data profiling, were developed 
using a community of autonomous agents with the ability to act together using a private 
data cloud as a cooperative environment. In this paper we present how the system was 
conceived, its functional architecture and services, and how agents were implemented, 
especially the ones related to the personalization of business dashboards.},
}