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.
Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.116-125, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_12〉
https://hal.inria.fr/hal-01350916
Contributeur : Hal Ifip
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Soumis le : mardi 2 août 2016 - 11:24:00
Dernière modification le : mercredi 3 août 2016 - 01:03:50
Document(s) archivé(s) le : jeudi 3 novembre 2016 - 17:55:48
Vivian Lee, Masatomo Goto, Bo Hu, Aisha Naseer, Pierre-Yves Vandenbussche, et al.. Exploiting Linked Data in Financial Engineering. Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.116-125, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_12〉. 〈hal-01350916〉
