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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [1 references]  Display  Hide  Download

https://hal.inria.fr/hal-01463269
Contributor : Hal Ifip <>
Submitted on : Thursday, February 9, 2017 - 2:33:46 PM
Last modification on : Thursday, July 26, 2018 - 2:38:13 PM
Long-term archiving on : Wednesday, May 10, 2017 - 2:28:26 PM

File

978-3-642-40543-3_77_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Justin Mccarthy, Laurentiu Vasiliu, Allan 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⟩

Share

Metrics

Record views

228

Files downloads

157