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Conceptual graph interchange format for mining financial statements

Kamaruddin, Siti Sakira and Hamdan, Abdul Razak and Abu Bakar, Azuraliza and Mat Nor, Fauzias (2009) Conceptual graph interchange format for mining financial statements. Rough Sets and Knowledge Technology, 5589. pp. 579-586. ISSN 0302-9743

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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.

Item Type: Article
Uncontrolled Keywords: Conceptual Graph Interchange Format; Deviation Detection; Information Extraction; Text Mining
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: College of Arts and Sciences
Depositing User: Dr. Siti Sakira Kamaruddin
Date Deposited: 02 Sep 2015 01:09
Last Modified: 02 Sep 2015 01:09
URI: http://repo.uum.edu.my/id/eprint/15355

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