Graph databases as storage support for detection of star clusters in nearby galaxies.

Abstract

. The present work will explore the most outstanding features that a graph database should gather for the implementation of a system for structural patterns recognition in nearby star clusters. The parameters to be stored will be analyzed, according to the information revealed by various astronomical observation projects, as well as the most promising representation model, considering the purpose of storage. Some of the characteristics of existing databases will also be described, as well as their advantages and disadvantages when implementing the recognition system. It will be demonstrated that a representation in the form of graphs of the existing information in the astronomical repositories is not only possible and can help to the automatic processing but also can provide an effective mechanism for the implementation of pattern recognition algorithms and the consequent detection of stellar structures of interest.