Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02962-2_73 | RSKT |
Keywords | Field | DocType |
deviation detection,relevant financial performance indicator,syntactic sentence structure,knowledge discovery,illustrative example,mining financial statements,conceptual graph interchange format,required component,automatic transformation,potential manipulation,financial statement,conceptual graph,text mining | Knowledge Interchange Format,Computer science,Conceptual graph,Information extraction,Knowledge extraction,Parsing,Finance,Syntax,Sentence,Financial performance | Conference |
Volume | ISSN | Citations |
5589 | 0302-9743 | 2 |
PageRank | References | Authors |
0.36 | 18 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siti Sakira Kamaruddin | 1 | 16 | 3.41 |
| Abdul Razak Hamdan | 2 | 161 | 24.71 |
| Azuraliza Abu Bakar | 3 | 157 | 30.29 |
| Fauzias Mat Nor | 4 | 4 | 1.06 |