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

• 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
• ISSN: 1135-5948; 1989-7553

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.