KBS4FIA: Leveraging advanced knowledge-based systems for financial information analysis

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...

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Bibliographic Details
Published in:Procesamiento del Lenguaje Natural 2017-09, Vol.59, p.145
Main Authors: García-Sánchez, Francisco, Paredes-Valverde, Mario, Valencia-García, Rafael, Alcaraz-Mármol, Gema, Almela, Ángela
Format: Article
Language:English
Subjects:
Automation
Data analysis
Data mining
Decision analysis
Decision making
Financial analysis
Information management
Natural language processing
Ontology
Regional development
Regional planning
Semantic change
Semantic web
Sentiment analysis
Spanish language
Task complexity
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Summary: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.
ISSN:1135-5948
1989-7553