Financial Industry Ontologies for Risk and Regulation Data (FIORD) – A Position Paper - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2013

Financial Industry Ontologies for Risk and Regulation Data (FIORD) – A Position Paper

Abstract

This paper presents a proposed approach to address risk and regulation management within the highly active and volatile financial domain by employing semantic based technologies within a collaborative networks environment. Firstly the problems and motivation are introduced, with accent on big data and high frequency trading issues that are creating major problems to the current software systems. Secondly the state of the art on Big Data, Regulation and Risk Management are presented. Next the FIORD platform architecture is detailed and the envisioned approach explained. Finally conclusions are presented where benefits for real time monitoring are emphasized so high frequency trading irregularities are detected in real time for the benefit of involved financial institutions.
Fichier principal
Vignette du fichier
978-3-642-40543-3_77_Chapter.pdf (357.82 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01463269 , version 1 (09-02-2017)

Licence

Attribution

Identifiers

Cite

Justin Mccarthy, Laurentiu Vasiliu, Allan D. Grody, Cal Muckley, Donald Lawrence, et al.. Financial Industry Ontologies for Risk and Regulation Data (FIORD) – A Position Paper. 14th Working Conference on Virtual Enterprises, (PROVE), Sep 2013, Dresden, Germany. pp.737-744, ⟨10.1007/978-3-642-40543-3_77⟩. ⟨hal-01463269⟩
218 View
244 Download

Altmetric

Share

Gmail Facebook X LinkedIn More