Exploiting linked data in financial engineering

Vivian Lee, Masatomo Goto, Bo Hu, Aisha Naseer, Pierre Yves Vandenbussche, Gofran Shakair, Eduarda Mendes Rodrigues

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we report on a recent initiative that exploiting Linked Data for financial data integration. Financial data present high heterogeneity. Linked Data helps to reveal the true data semantics and “hidden” connection, upon which meaningful mappings can be constructed. The work reported in this paper has been well-accepted at several public events and conferences, including the 26th XBRL conference, involving the realisation of the XBRL (eXtensible Business Reporting Language) prototype called HIKAKU, which means “comparison” in Japanese. It demonstrates our approach to exploit the power of Linked Data in enhancing flexibility for data integration in the financial domain.

Original languageEnglish
Title of host publicationService Science and Knowledge Innovation - 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014, Proceedings
EditorsKecheng Liu, Stephen R. Gulliver, Weizi Li, Changrui Yu
PublisherSpringer New York LLC
Pages116-125
Number of pages10
ISBN (Electronic)9783642553547
DOIs
StatePublished - 2014
Event15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014 - Shanghai, China
Duration: May 23 2014May 24 2014

Publication series

NameIFIP Advances in Information and Communication Technology
Volume426
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014
Country/TerritoryChina
CityShanghai
Period05/23/1405/24/14

Keywords

  • Data driven platform
  • Financial Engineering
  • Financial Reporting
  • Governmental Data
  • Linked Data
  • XBRL (eXtensible Business Reporting Language)

Fingerprint

Dive into the research topics of 'Exploiting linked data in financial engineering'. Together they form a unique fingerprint.

Cite this