Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper

Adamantios Koumpis; Luis M. Camarinha-Matos; Raimar J. Scherer

doi:10.13025/21009

Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper

Adamantios Koumpis
, Luis M. Camarinha-Matos (Editor)
, Raimar J. Scherer (Editor)

Research output: Contribution to conference (Published) › Paper

Abstract

This paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. Firstly the problems and motivation are introduced, with accenton big data and high frequency trading issues that are creating major problemsto the current software systems. Secondly the state of the art on Big Data,Regulation and Risk Management are presented. Next the FIORD platformarchitecture is detailed and the envisioned approach explained. Finallyconclusions are presented where benefits for real time monitoring areemphasized so high frequency trading irregularities are detected in real time forthe benefit of involved financial institutions.

Original language	English (Ireland)
DOIs	https://doi.org/10.13025/21009
Publication status	Published - 1 Jan 2013
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

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10.13025/21009Licence: CC BY-NC-ND

Financial OntologiesAccepted author manuscript, 513 KBLicence: CC BY-NC-ND

Cite this

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title = "Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper",

abstract = "This paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. Firstly the problems and motivation are introduced, with accenton big data and high frequency trading issues that are creating major problemsto the current software systems. Secondly the state of the art on Big Data,Regulation and Risk Management are presented. Next the FIORD platformarchitecture is detailed and the envisioned approach explained. Finallyconclusions are presented where benefits for real time monitoring areemphasized so high frequency trading irregularities are detected in real time forthe benefit of involved financial institutions.",

author = "Adamantios Koumpis and Camarinha-Matos, \{Luis M.\} and Scherer, \{Raimar J.\}",

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AB - This paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. Firstly the problems and motivation are introduced, with accenton big data and high frequency trading issues that are creating major problemsto the current software systems. Secondly the state of the art on Big Data,Regulation and Risk Management are presented. Next the FIORD platformarchitecture is detailed and the envisioned approach explained. Finallyconclusions are presented where benefits for real time monitoring areemphasized so high frequency trading irregularities are detected in real time forthe benefit of involved financial institutions.

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DO - 10.13025/21009

M3 - Paper

ER -

Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper

Abstract

UN SDGs

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