Paper Info
Title
Financial Knowledge Instantiation from Semi-structured, Heterogeneous Data Sources.
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.
Year
DOI
Venue
2018
10.1007/978-3-319-91189-2_11
ARTIFICIAL INTELLIGENCE AND ALGORITHMS IN INTELLIGENT SYSTEMS
Keywords
Field
DocType
Ontology population,Knowledge-based decision support system,Financial domain
Ontology (information science),Computer science,Semantic Web,Finance,The Internet
Conference
Volume
ISSN
Citations 
764
2194-5357
0
PageRank 
References 
Authors
0.34
16
4
Name
Order
Citations
PageRank
Francisco García-Sánchez140222.62
José Antonio García-Díaz201.35
Juan Miguel Gómez Berbís318413.15
Rafael Valencia-garcía463054.42