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.
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Bennett, M.: Fibo: Best practice in big data. Journal of Banking Regulation (3-4), 255–268 (2013)
Burdick, D., Hernández, M.A., Ho, H., Koutrika, G., Krishnamurthy, R., Popa, L., Stanoi, I., Vaithyanathan, S., Das, S.R.: Extracting, linking and integrating data from public sources: A financial case study. IEEE Data Eng. Bull. 34(3), 60–67 (2011)
Florian, B., Martin, K.: Linked Open Data: The Essentials - A Quick Start Guide for Decision Makers. edition mono/monochrom, Vienna, Austria (2012)
García, R., Gil, R.: Triplificating and linking xbrl financial data. In: Proceedings of the 6th International Conference on Semantic Systems, pp. 3:1–3:8. ACM (2010)
Omberg, T., Sakr, S., Sethi, S., Murrell, B., Popken, A.: Key factors shaping financial reporting: The decade ahead. Deloitte (2011)
O’Riain, S., Curry, E., Harth, A.: Xbrl and open data for global financial ecosystems: A linked data approach. International Journal of Accounting Information Systems 13(2), 141–162 (2012)
O’Riain, S., Harth, A., Curry, E.: Linked Data Driven Information Systems as an Enabler for Integrating Financial Data. In: Yap, A. (ed.) Information Systems for Global Financial Markets: Emerging Developments and Effects, ch. 10, pp. 239–270. IGI Global (2012)
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Lee, V. et al. (2014). Exploiting Linked Data in Financial Engineering. In: Liu, K., Gulliver, S.R., Li, W., Yu, C. (eds) Service Science and Knowledge Innovation. ICISO 2014. IFIP Advances in Information and Communication Technology, vol 426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55355-4_12
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DOI: https://doi.org/10.1007/978-3-642-55355-4_12
Publisher Name: Springer, Berlin, Heidelberg
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