Conceptual Graph Interchange Format for Mining Financial Statements

Authors:
Siti Sakira Kamaruddin;Abdul Razak Hamdan;Azuraliza Abu Bakar;Fauzias Mat Nor
Affiliations:
College of Arts and Science, Universiti Utara Malaysia, Sintok, Malaysia and Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Venue:
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Year:
2009

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Abstract

This paper addresses the automatic transformation of financial statements into conceptual graph interchange format (CGIF). The method mainly involves extracting relevant financial performance indicators, parsing it to obtain syntactic sentence structure and to generate the CGIF for the extracted text. The required components for the transformation are detailed out with an illustrative example. The paper also discusses the potential manipulation of the resulting CGIF for knowledge discovery and more precisely for deviation detection.