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Conceptual Graph Interchange Format for Mining Financial Statements

  • Siti Sakira Kamaruddin
  • Abdul Razak Hamdan
  • Azuraliza Abu Bakar
  • Fauzias Mat Nor
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5589)

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.

Keywords

Conceptual Graph Interchange Format Deviation Detection Information Extraction Text Mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Siti Sakira Kamaruddin
    • 1
    • 2
  • Abdul Razak Hamdan
    • 2
  • Azuraliza Abu Bakar
    • 2
  • Fauzias Mat Nor
    • 3
  1. 1.College of Arts and ScienceUniversiti Utara MalaysiaSintokMalaysia
  2. 2.Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangi, SelangorMalaysia
  3. 3.Graduate School of BusinessUniversiti Kebangsaan MalaysiaBangi, SelangorMalaysia

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