KBS4FIALeveraging advanced knowledge-based systems for financial information analysis

  1. Francisco García Sánchez
  2. Mario Paredes Valverde
  3. Rafael Valencia García
  4. Gema Alcaraz Mármol
  5. Ángela Almela Sánchez Lafuente
Journal:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Year of publication: 2017

Issue: 59

Pages: 145-148

Type: Article

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Abstract

Decision making takes place in an environment of uncertainty. Therefore, it is necessary to have information which is as accurate and complete as possible in order to minimize the risk that is inherent to the decision-making process. In the financial domain, the situation becomes even more critical due to the intrinsic complexity of the analytical tasks within this field. The main aim of the KBS4FIA project is to automate the processes associated with financial analysis by leveraging the technological advances in natural language processing, ontology learning and population, ontology evolution, opinion mining, the Semantic Web and Linked Data. This project is being developed by the TECNOMOD research group at the University of Murcia and has been funded by the Ministry of Economy, Industry and Competitiveness and the European Regional Development Fund (ERDF) through the Spanish National Plan for Scientific and Technical Research and Innovation Aimed at the Challenges of Society.

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Funding information

This project has been funded by the Spanish National Research Agency (AEI) and the European Regional Development Fund (FEDER / ERDF) through project KBS4FIA (TIN2016-76323-R).

Funders

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