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Computer-aided Knowledge Extraction and Management for Decision Supporting Processes

Authors:
Lidia Ogiela
Marek Ogiela

Keywords: cognitive financial systems; knowledge extraction; data mining; semantic interpretation

Abstract:
This publication presents the essence of the process of obtaining knowledge for the purpose of managing data in strategic decision-taking processes. A method of analysing selected datasets will be described by reference to the semantic analysis and interpretation of data. A new class of systems supporting strategic information management processes –Understanding Based Management Financial Leverage Ratios Support Systems (UBMFLRSS) – has been chosen for the analysis. These systems are designed for cognitively analysing financial leverage ratios (financial debt ratios) and reasoning about sources financing the company's assets and the proportion of external capital based on analyses of short-term and long-term liabilities, as well as about the effectiveness of expenditure and the interest paid. Based on the semantic analysis of the value of leverage ratios, it is possible to assess the current standing of the enterprise and its future situation by indicating the direction of change that should be made.

Pages: 86 to 91

Copyright: Copyright (c) IARIA, 2015

Publication date: May 24, 2015

Published in: conference

ISSN: 2308-4006

ISBN: 978-1-61208-404-6

Location: Rome, Italy

Dates: from May 24, 2015 to May 29, 2015