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Financial Knowledge Instantiation from Semi-structured, Heterogeneous Data Sources

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Artificial Intelligence and Algorithms in Intelligent Systems (CSOC2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 764))

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Abstract

Decision making in the financial domain is a very challenging endeavor. The risk associated to this process can be diminished by gathering as much accurate and pertinent information as possible. However, most relevant data currently lies over the Internet in heterogeneous sources. Semantic Web technologies have proven to be a useful means to integrate knowledge from disparate sources. In this work, a framework to semi-automatically populate ontologies from data in semi-structured documents is proposed. The validation results in the financial domain are very promising.

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Acknowledgements

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

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Authors and Affiliations

  1. Dpto. Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Francisco García-Sánchez, José Antonio García-Díaz & Rafael Valencia-García

  2. Departamento de Informática, Universidad Carlos III de Madrid, Leganés, Spain

    Juan Miguel Gómez-Berbís

Authors
  1. Francisco García-Sánchez
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  2. José Antonio García-Díaz
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  3. Juan Miguel Gómez-Berbís
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  4. Rafael Valencia-García
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Corresponding author

Correspondence to Francisco García-Sánchez .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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García-Sánchez, F., García-Díaz, J.A., Gómez-Berbís, J.M., Valencia-García, R. (2019). Financial Knowledge Instantiation from Semi-structured, Heterogeneous Data Sources. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_11

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