Graph databases as storage support for detection of star clusters in nearby galaxies.
Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Tecnológica Nacional Regional Córdoba.
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.
Description
Keywords
Graph, Database, Modeling, Pattern detection, Astronomy, Stellar clusters
Citation
VII Jornada de Cloud Computing y Big Data-2019.
Endorsement
Review
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Creative Commons license
Except where otherwised noted, this item's license is described as info:eu-repo/semantics/openAccess