Financial Knowledge Instantiation from Semi-structured, Heterogeneous Data Sources View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Francisco García-Sánchez , José Antonio García-Díaz , Juan Miguel Gómez-Berbís , Rafael Valencia-García

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. More... »

PAGES

103-110

References to SciGraph publications

Book

TITLE

Artificial Intelligence and Algorithms in Intelligent Systems

ISBN

978-3-319-91188-5
978-3-319-91189-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-91189-2_11

DOI

http://dx.doi.org/10.1007/978-3-319-91189-2_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104249230


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