FAST: Fundamental Analysis Support for Financial Statements. Using semantics for trading recommendations Articles uri icon

authors

  • RODRIGUEZ GONZALEZ, ALEJANDRO
  • COLOMO PALACIOS, RICARDO
  • GULDRIS IGLESIAS, FERNANDO
  • GOMEZ BERBIS, JUAN MIGUEL
  • GARCIA CRESPO, ANGEL

publication date

  • December 2012

start page

  • 999

end page

  • 1017

issue

  • 5

volume

  • 14

International Standard Serial Number (ISSN)

  • 1387-3326

Electronic International Standard Serial Number (EISSN)

  • 1572-9419

abstract

  • Trading systems are tools to aid financial analysts in the investment process in companies. This process is highly complex because a big number of variables take part in it. Furthermore, huge sets of data must be taken into account to perform a grounded investment, making the process even more complicated. In this paper we present a real trading system that has been developed using semantic technologies. These cutting-edge technologies are very useful in this context because they enable the definition of schemes that can be used for storing financial information, which, in turn, can be easily accessed and queried. Additionally, the inference capabilities of the existing reasoning engines enable the generation of a set of rules supporting this investment analysis process.